Loose coupling between Ca2+ channels and release sensors as a synaptic correlate of higher-order brain function.

Code ↔ Paper

The paper beside its authors' code: matches between them have not been computed for this paper yet.

Paper

Loaded from Europe PMC by your browser; OSCR does not store it: doi.org · Europe PMC

The paper is loaded when this pane is shown.

The paper is loaded by your browser, with JavaScript: read it at doi.org or on Europe PMC.

The authors' code

Mathematica · 3,484 lines · 195 KB · MIT

(* Content-type: application/vnd.wolfram.mathematica *)
(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)
(* CreatedBy='Mathematica 10.4' *)
(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[ 158, 7]
NotebookDataLength[ 2794349, 48520]
NotebookOptionsPosition[ 2778562, 48253]
NotebookOutlinePosition[ 2779007, 48270]
CellTagsIndexPosition[ 2778964, 48267]
WindowFrame->Normal*)
(* Beginning of Notebook Content *)
Notebook[{
Cell[CellGroupData[{
Cell["Release from L5PN synapses", "Title",
CellChangeTimes->{{3.4959503665195885`*^9, 3.4959504105494294`*^9}, {
3.5002815777569113`*^9, 3.500281579928814*^9}, {3.5002816557245855`*^9,
3.5002816649275336`*^9}, {3.51539731096163*^9, 3.515397323524291*^9}, {
3.561446700277918*^9, 3.5614467486826186`*^9}, {3.67548922620105*^9,
3.675489238255604*^9}, {3.6756610035198593`*^9, 3.675661019019875*^9}, {
3.6985673357103148`*^9, 3.6985673373714857`*^9}},
FontColor->RGBColor[
0, 0, 1],ExpressionUUID->"a548e61c-ed8e-47b3-b68c-bdb7e8b85d8c"],
Cell[TextData[{
"Last update: HS Aug. 2025, for PFC coupling project: \nUse according to \
settings determined by Ca data fit\n",
StyleBox["Status:\t \nInflux via different Cav driven by AP waveform; \
multiple APs with unitstep function\nBuffering by cooperative CR and CR B5 \
with FF, ATP, EGTA or BAPTA, slow and fast endogenous buffers with estimted \
kinetics \nNew Syt1 sensor models instead of Syt2 models",
FontColor->RGBColor[0, 0, 1]],
"\n",
StyleBox["Concentrations in mol/m3 (i.e. factor 10^-3 gives mol/l or mol/l * \
10^3 = mol/m3)",
FontColor->RGBColor[0, 0, 1]]
}], "Subsubsection",
CellChangeTimes->{{3.495950477812902*^9, 3.4959505441079607`*^9}, {
3.5002815903508224`*^9, 3.5002816395217714`*^9}, {3.5020125068456273`*^9,
3.502012570780672*^9}, {3.504433810337161*^9, 3.504433912242107*^9}, {
3.5055611662701035`*^9, 3.5055611908943152`*^9}, {3.5079846320828943`*^9,
3.5079846326766367`*^9}, {3.5153973764624686`*^9, 3.51539741718174*^9}, {
3.52217110421875*^9, 3.522171296359375*^9}, {3.522171372*^9,
3.522171418625*^9}, {3.522171460375*^9, 3.522171475578125*^9}, {
3.5230144355072036`*^9, 3.5230144668487473`*^9}, {3.523014548686735*^9,
3.5230145553581405`*^9}, {3.529663908150269*^9, 3.5296639163687563`*^9}, {
3.5296640002879457`*^9, 3.5296640457239914`*^9}, {3.529819324524103*^9,
3.529819326461231*^9}, {3.539066119086008*^9, 3.5390662275214257`*^9}, {
3.5390662676769047`*^9, 3.5390662705518494`*^9}, {3.539066361268858*^9,
3.539066377518546*^9}, {3.539066409627304*^9, 3.539066419595863*^9}, {
3.555328184494936*^9, 3.5553281847918034`*^9}, {3.561379323206628*^9,
3.5613793419715323`*^9}, 3.561379457357726*^9, {3.561446687262709*^9,
3.5614466914032016`*^9}, {3.5614467583385596`*^9, 3.561446868803706*^9}, {
3.561446923488756*^9, 3.561446930347824*^9}, {3.566814608808321*^9,
3.566814612230065*^9}, {3.587382775594714*^9, 3.5873827764540887`*^9}, {
3.6012756581880116`*^9, 3.6012756953960423`*^9}, {3.675489248564213*^9,
3.6754893519577017`*^9}, 3.675494190089396*^9, {3.675503796287993*^9,
3.675503822183174*^9}, {3.675570162689468*^9, 3.6755701920951767`*^9}, {
3.6755844583186502`*^9, 3.6755844591411037`*^9}, {3.675584507989978*^9,
3.675584515528974*^9}, {3.6755863293626957`*^9, 3.675586335300641*^9}, {
3.67566070184295*^9, 3.6756607380858307`*^9}, {3.675661039053144*^9,
3.6756611646894083`*^9}, {3.698567356453899*^9, 3.6985673682214537`*^9}, {
3.698570100921377*^9, 3.698570132130186*^9}, {3.702888579677129*^9,
3.702888627388156*^9}, {3.703222057998217*^9, 3.703222077457013*^9}, {
3.726316013636159*^9, 3.7263160443473787`*^9}, {3.7428864810984*^9,
3.74288653213199*^9}, {3.952503551222651*^9, 3.952503564406335*^9}, {
3.952503611260685*^9, 3.9525036233303556`*^9}, {3.952671815553005*^9,
3.95267183389161*^9}, {3.964596757185329*^9, 3.964596790033868*^9}, {
3.9647559183823767`*^9,
3.96475591979624*^9}},ExpressionUUID->"51e41b39-829b-4202-8aff-\
5b92c979e62e"],
Cell[CellGroupData[{
Cell["Edit", "Section",
CellChangeTimes->{{3.495949670865237*^9, 3.495949680489683*^9},
3.495949741970516*^9, {3.504428825309664*^9,
3.5044288260752745`*^9}},ExpressionUUID->"7d2d4d8a-80c7-44c0-a741-\
d168f1c0f2d9"],
Cell[BoxData[
RowBox[{
RowBox[{"(*",
RowBox[{"General", " ", "settings"}], "*)"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"shells", "=", "400"}], ";"}], " ",
RowBox[{"(*",
RowBox[{
RowBox[{"1", " ", "based", " ", "indexing"}], ";", " ",
RowBox[{"1", " ", "is", " ", "inner", " ", "shell"}]}], "*)"}],
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{
RowBox[{"APN", "=", "1"}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"ISI", "=",
RowBox[{"20.", "*",
SuperscriptBox["10",
RowBox[{"-", "3"}]]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"LF", "=", "0.7"}], ";"}], " ",
RowBox[{"(*",
RowBox[{
RowBox[{
"loading", " ", "factor", " ", "for", " ", "pipette", " ", "loading",
" ", "or", " ", "for", " ", "AM", " ", "chelator", " ", "loading", " ",
"according", " ", "to", " ", "Baur", " ", "et", " ",
RowBox[{"al", "."}]}], ",", " ",
RowBox[{"J", " ", "Neurosci"}], ",", " ", "2015"}], "*)"}],
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{
RowBox[{"longAP", "=", "0"}], ";"}], "\[IndentingNewLine]",
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{
RowBox[{"young", "=", "0"}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"younglAP", "=", "0"}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"adult", "=", "1"}], ";"}], "\[IndentingNewLine]",
"\[IndentingNewLine]",
RowBox[{
RowBox[{"If", "[",
RowBox[{
RowBox[{"APN", "\[LessEqual]", "1"}], ",", "\[IndentingNewLine]",
RowBox[{"TimeWindow", "=", "0.002"}], ",", "\[IndentingNewLine]",
RowBox[{"TimeWindow", "=",
RowBox[{"APN", "*", "ISI"}]}]}], "]"}], ";"}], "\[IndentingNewLine]",
"\[IndentingNewLine]",
RowBox[{
RowBox[{"DiscreteDist", "=", "0"}], ";"}], "\[IndentingNewLine]",
RowBox[{"(*",
RowBox[{
RowBox[{"DistList", "=",
RowBox[{"{",
RowBox[{"22", ",", "23", ",", " ", "24"}], "}"}]}], ";"}], "*)"}],
"\[IndentingNewLine]",
RowBox[{
RowBox[{"DistList", "=",
RowBox[{"{", "7", "}"}]}], ";"}], "\[IndentingNewLine]",
RowBox[{"(*",
RowBox[{
RowBox[{"DistList", "=",
RowBox[{"{",
RowBox[{"45", ",", "46", ",", " ", "47"}], "}"}]}], ";"}], "*)"}],
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{
RowBox[{"CaRest", " ", "=", " ",
RowBox[{"29.", "*",
SuperscriptBox["10",
RowBox[{"-", "6"}]]}]}], ";"}], " ",
RowBox[{"(*",
RowBox[{
RowBox[{
RowBox[{"10", "^",
RowBox[{"-", "9"}]}], "/",
RowBox[{"10", "^",
RowBox[{"-", "3"}]}]}], ";", " ",
RowBox[{
RowBox[{"i", ".", "e", ".", " ", "103"}], " ", "nM"}]}], "*)"}],
"\[IndentingNewLine]",
RowBox[{
RowBox[{"FF", "=", "0.2"}], ";"}], " ",
RowBox[{"(*",
RowBox[{
"IF", " ", "of", " ", "CR", " ", "in", " ", "innermost", " ", "shell"}],
"*)"}], "\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{"(*",
RowBox[{"Chelator", " ", "settings"}], "*)"}], "\[IndentingNewLine]",
StyleBox[
RowBox[{
RowBox[{"native", "=", "1"}], ";"}],
FontWeight->"Bold",
FontColor->RGBColor[1, 0, 0]],
StyleBox[
RowBox[{
StyleBox[" ",
FontWeight->"Plain",
FontColor->RGBColor[1, 0, 0]],
StyleBox[" ",
FontWeight->"Plain"], " "}]],
RowBox[{"(*",
RowBox[{"native", " ", "=", " ",
RowBox[{"1", " ", "removes", " ",
RowBox[{"EGTA", "/", "BAPTA"}]}]}], "*)"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"low", "=", "1"}], ";"}],
" ",
RowBox[{"(*",
RowBox[{
RowBox[{"1", " ", "=", " ", "EGTA"}], ",", " ",
RowBox[{"0", " ", "=", " ", "BAPTA"}]}], "*)"}], "\[IndentingNewLine]",
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{
RowBox[{"cEGTA", "=",
RowBox[{"10.", "*",
SuperscriptBox["10", "0"], "*", "LF"}]}], ";"}], " ",
RowBox[{"(*",
RowBox[{
RowBox[{
RowBox[{"i", ".", "e", ".", " ", "10"}], " ", "mM", " ", "*", " ",
"LF"}], ";", " ",
RowBox[{"2.", "*",
SuperscriptBox["10",
RowBox[{"-", "3"}]], " ", "as", " ", "endogenous", " ", "buffer"}],
";", " ",
RowBox[{"cf", " ", "L5PN", " ", "Ca", " ", "fit"}]}], "*)"}],
"\[IndentingNewLine]",
RowBox[{
RowBox[{"cBAPTA", "=",
RowBox[{"10.", "*",
SuperscriptBox["10", "0"]}]}], ";"}], "\[IndentingNewLine]",
"\[IndentingNewLine]",
RowBox[{"(*",
RowBox[{
RowBox[{"Plotting", " ", "&"}], " ", "Calculating"}], "*)"}],
"\[IndentingNewLine]",
RowBox[{
RowBox[{"FusPlot", "=", "1"}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"CaPlot", "=", "1"}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"AvCaPlot", "=", "1"}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"CalPr", "=", "1"}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"CalPPR", "=", "0"}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"CumPlot", "=", "0"}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"CalCaList", "=", "0"}], ";"}], "\[IndentingNewLine]",
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{"(*",
RowBox[{
RowBox[{"Buffer", " ", "capacity"}], ";", " ",
RowBox[{
"used", " ", "to", " ", "calculate", " ", "concentrations", " ", "of",
" ", "unknown", " ", "edogenous", " ", "buffers"}]}], "*)"}],
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{
RowBox[{"\[Kappa]S", "=", "25"}], ";"}], " ",
RowBox[{"(*",
RowBox[{"120", ",", " ", "25", ",", " ", "7"}], "*)"}], " ",
RowBox[{"(*",
RowBox[{
RowBox[{
RowBox[{
RowBox[{"140", " ", "in", " ", "Koester"}], " ", "&"}], " ",
"Sakmann"}], ",", " ",
RowBox[{"J", " ", "Physiol"}], ",", " ",
RowBox[{"2000", ";", " ",
RowBox[{
RowBox[{"kappa", " ", "fix"}], " ", "=",
RowBox[{"100", " ", "in", " ", "CA1"}]}]}], ",", " ",
RowBox[{"Matthews", " ", "et", " ",
RowBox[{"al", "."}]}], ",", " ",
RowBox[{"J", " ", "Neurosci"}], ",", " ",
RowBox[{"2013", ";", " ",
RowBox[{"50", "%", " ", "wash", " ", "out", " ", "assumed"}], ";", " ",
RowBox[{
RowBox[{"Tran", " ", "&"}], " ", "Stricker"}]}], ",", " ",
RowBox[{"Biophys", " ", "J"}], ",", " ",
RowBox[{"2018", ";", " ",
RowBox[{"L5PN", " ", "boutons"}], ";", " ",
RowBox[{"kappa", " ", "7", " ", "or", " ", "25"}]}], ",", " ",
RowBox[{"no", " ", "mobile", " ", "buffers"}]}], "*)"}],
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{"(*",
RowBox[{
RowBox[{"CAVE", ":", " ",
RowBox[{
RowBox[{"Don", "'"}], "t", " ", "forget", " ", "changegin", " ", "fix",
" ", "buffer", " ", "settings", " ", "for", " ", "different", " ",
"kappaS"}], ":", " ", "FSB"}], " ", "=", " ",
RowBox[{
"0", " ", "for", " ", "kappaS", " ", "of", " ", "7", " ", "and", " ",
RowBox[{"25", "!"}]}]}], "*)"}], "\[IndentingNewLine]",
"\[IndentingNewLine]",
RowBox[{
RowBox[{"kOffFBscale", "=", "1"}], ";"}], " ",
RowBox[{"(*",
RowBox[{"0.1", ",", " ", "1", ",", " ", "10"}], "*)"}],
"\[IndentingNewLine]",
RowBox[{
RowBox[{"FSB", "=", "0.07"}], ";"}], " ",
RowBox[{"(*",
RowBox[{
RowBox[{
RowBox[{"fraction", " ", "of", " ", "slow", " ", "EB"}], ";", " ",
"0"}], ",", " ", "0.07", ",", " ",
RowBox[{"0.1", ";", " ",
RowBox[{
"or", " ", "0", " ", "for", " ", "kappaS", " ", "of", " ", "7", " ",
"and", " ", "25"}]}]}], "*)"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"FFB", "=",
RowBox[{"1", "-", "FSB"}]}], ";"}], " ",
RowBox[{"(*",
RowBox[{"fraction", " ", "of", " ", "fast", " ", "EB"}], "*)"}],
"\[IndentingNewLine]",
RowBox[{
RowBox[{"FFSB", "=", "0.5"}], ";"}], " ",
RowBox[{"(*",
RowBox[{"fixed", " ", "fraction", " ", "of", " ", "SB"}], "*)"}],
"\[IndentingNewLine]",
RowBox[{
RowBox[{"FFFB", "=", "0.5"}], ";"}], " ",
RowBox[{"(*",
RowBox[{"fixed", " ", "fraction", " ", "of", " ", "FB"}], "*)"}],
"\[IndentingNewLine]", "\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{"(*",
RowBox[{"AP", " ", "and", " ", "Cav", " ", "and", " ", "Pump"}], "*)"}],
"\[IndentingNewLine]",
RowBox[{"(*",
RowBox[{"young", ";", " ",
RowBox[{"normal", " ", "AP"}]}], "*)"}], "\[IndentingNewLine]",
"\[IndentingNewLine]",
RowBox[{"(*",
RowBox[{"young", ",", " ",
RowBox[{"different", " ", "kappaS"}]}], "*)"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"If", "[",
RowBox[{
RowBox[{"young", "\[Equal]", "1"}], ",", "\[IndentingNewLine]",
RowBox[{
RowBox[{"If", "[",
RowBox[{
RowBox[{"\[Kappa]S", "\[Equal]", "120"}], ",", "\[IndentingNewLine]",
RowBox[{
RowBox[{"NPQ", "=", "12"}], ";", "\[IndentingNewLine]",
RowBox[{"NN", "=", "7"}], ";", " ", "\[IndentingNewLine]",
RowBox[{"NR", "=", "0"}], ";", "\[IndentingNewLine]",
RowBox[{"NL", "=", "0"}], ";"}]}], "]"}], ";",
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{"If", "[",
RowBox[{
RowBox[{"\[Kappa]S", "\[Equal]", "25"}], ",", "\[IndentingNewLine]",
RowBox[{
RowBox[{"NPQ", "=", "7"}], ";", "\[IndentingNewLine]",
RowBox[{"NN", "=", "5"}], ";", " ", "\[IndentingNewLine]",
RowBox[{"NR", "=", "0"}], ";", "\[IndentingNewLine]",
RowBox[{"NL", "=", "0"}], ";"}]}], "]"}], ";",
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{"If", "[",
RowBox[{
RowBox[{"\[Kappa]S", "\[Equal]", "7"}], ",", "\[IndentingNewLine]",
RowBox[{
RowBox[{"NPQ", "=", "6"}], ";", "\[IndentingNewLine]",
RowBox[{"NN", "=", "4"}], ";", " ", "\[IndentingNewLine]",
RowBox[{"NR", "=", "0"}], ";", "\[IndentingNewLine]",
RowBox[{"NL", "=", "0"}], ";"}]}], "]"}], ";"}]}],
"\[IndentingNewLine]", "]"}], ";"}], "\[IndentingNewLine]",
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{"(*",
RowBox[{"young", ";", " ",
RowBox[{"long", " ", "AP"}]}], "*)"}], "\[IndentingNewLine]",
RowBox[{"If", "[",
RowBox[{
RowBox[{"younglAP", "\[Equal]", "1"}], ",", "\[IndentingNewLine]",
RowBox[{
RowBox[{"NPQ", "=", "6.5"}], ";", "\[IndentingNewLine]",
RowBox[{"NN", "=", "3"}], ";", " ", "\[IndentingNewLine]",
RowBox[{"NR", "=", "0"}], ";", "\[IndentingNewLine]",
RowBox[{"NL", "=", "0"}], ";"}]}], "]"}], "\[IndentingNewLine]",
"\[IndentingNewLine]",
RowBox[{"(*", "adult", "*)"}], "\[IndentingNewLine]",
RowBox[{"If", "[",
RowBox[{
RowBox[{"adult", "\[Equal]", "1"}], ",", "\[IndentingNewLine]",
RowBox[{
StyleBox[
RowBox[{"NPQ", "=", "8"}],
FontWeight->"Bold",
FontColor->RGBColor[1, 0, 0]],
StyleBox[";",
FontWeight->"Bold",
FontColor->RGBColor[1, 0, 0]], "\[IndentingNewLine]",
RowBox[{"NN", "=", "0"}], ";", " ",
RowBox[{"(*",
RowBox[{
"N", " ", "make", " ", "no", " ", "contribution", " ", "to", " ",
"release", " ", "in", " ", "adult", " ", "according", " ", "to", " ",
"the", " ", "data"}], "*)"}], "\[IndentingNewLine]",
RowBox[{"NR", "=", "0"}], ";", "\[IndentingNewLine]",
RowBox[{"NL", "=", "0"}], ";"}]}], "]"}], "\[IndentingNewLine]",
"\[IndentingNewLine]",
RowBox[{
RowBox[{"ECa", "=",
RowBox[{"130", "*",
RowBox[{"10", "^",
RowBox[{"-", "3"}]}]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"Vrest", "=",
RowBox[{
RowBox[{"-", "80"}], "*",
RowBox[{"10", "^",
RowBox[{"-", "3"}]}]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"\[Gamma]", "=",
RowBox[{"3.2", "*",
RowBox[{"10", "^",
RowBox[{"-", "4"}]}]}]}], ";"}], " ",
RowBox[{"(*",
RowBox[{
RowBox[{"pumprate", " ",
RowBox[{"1", "/", "s"}]}], ";", " ",
RowBox[{
"gamma", " ", "is", " ", "the", " ", "free", " ", "parameter"}]}],
"*)"}], "\[IndentingNewLine]", "\[IndentingNewLine]",
"\[IndentingNewLine]", "\[IndentingNewLine]"}]}]], "Input",
CellChangeTimes->{{3.504428869590064*^9, 3.504428870824415*^9},
3.5044294437633705`*^9, {3.5044295136389327`*^9, 3.5044295139201827`*^9},
3.504429878074995*^9, {3.504429961355179*^9, 3.5044299672457285`*^9},
3.504431723985027*^9, 3.5044330310033865`*^9, 3.504433081393367*^9,
3.504433318155961*^9, {3.50443334949931*^9, 3.5044333775927005`*^9}, {
3.504433419670287*^9, 3.504433422529625*^9}, {3.5045098420163345`*^9,
3.504509871343896*^9}, {3.5045104115053997`*^9, 3.504510415052207*^9},
3.504519315134572*^9, 3.5045198451264524`*^9, {3.504519911170368*^9,
3.504519916357636*^9}, 3.5046030096910496`*^9, {3.5046030566114235`*^9,
3.5046030603769274`*^9}, 3.504603313023677*^9, {3.504607646365336*^9,
3.5046076835047727`*^9}, 3.5046077163162227`*^9, {3.5046077671270967`*^9,
3.50460777078323*^9}, 3.504608102975724*^9, 3.504608336890114*^9,
3.5046084825573273`*^9, {3.504608872607345*^9, 3.504608920605809*^9},
3.5046099050118074`*^9, {3.504609946229238*^9, 3.5046099478385615`*^9},
3.5046148409083815`*^9, {3.5046148845794363`*^9, 3.5046149160632067`*^9}, {
3.505561465213662*^9, 3.5055614997906804`*^9}, {3.5055616944094524`*^9,
3.5055617061747007`*^9}, 3.5055617886564364`*^9, 3.5055618216866293`*^9, {
3.5055618828721714`*^9, 3.5055618888563547`*^9}, 3.505561926245783*^9, {
3.505562072600475*^9, 3.5055620726942215`*^9}, 3.505562149927359*^9, {
3.5055623499086375`*^9, 3.505562350111791*^9}, {3.505562406776018*^9,
3.5055624069791718`*^9}, 3.5055626441156597`*^9, {3.5055644732091208`*^9,
3.5055644860056677`*^9}, {3.5055649494469285`*^9, 3.5055649674464674`*^9},
3.505565094161974*^9, 3.505565142426363*^9, 3.5055656589287653`*^9,
3.505565809237417*^9, 3.5056464023018727`*^9, 3.506235778781554*^9,
3.5062372997499104`*^9, 3.506238005048293*^9, 3.5062380716585207`*^9, {
3.5076344466778393`*^9, 3.5076344780211883`*^9}, 3.5076345477546706`*^9, {
3.5076347683297596`*^9, 3.507634769751607*^9}, {3.507635811981596*^9,
3.507635813934684*^9}, 3.5076359655122395`*^9, {3.5076362375617285`*^9,
3.5076362499678993`*^9}, {3.507636363435923*^9, 3.5076363713264976`*^9}, {
3.5078933126670723`*^9, 3.5078933626125245`*^9}, {3.5078933970603576`*^9,
3.5078934295553656`*^9}, {3.507896620629609*^9, 3.5078966256138887`*^9},
3.5078966651600046`*^9, 3.5078967242213707`*^9, 3.5079734290384593`*^9, {
3.5079734899357443`*^9, 3.5079735098234415`*^9}, 3.507973992300287*^9, {
3.5079740418434377`*^9, 3.5079740536044693`*^9}, {3.507974100820404*^9,
3.5079741096607013`*^9}, 3.5079741934873376`*^9, {3.5079742357677*^9,
3.5079742405314646`*^9}, {3.507974278126157*^9, 3.5079742848579025`*^9},
3.507974330068301*^9, 3.507974370890155*^9, {3.507974415633281*^9,
3.507974423303978*^9}, {3.507974467656539*^9, 3.5079744757490463`*^9},
3.507974548612852*^9, 3.5079746059959297`*^9, {3.5079746530238686`*^9,
3.507974658976575*^9}, 3.5079747350493436`*^9, 3.507974882445216*^9, {
3.507975041890813*^9, 3.5079750694675255`*^9}, 3.5079751367765794`*^9, {
3.5079752117571154`*^9, 3.507975218069292*^9}, {3.5079752623326507`*^9,
3.5079752685042095`*^9}, {3.507975887889575*^9, 3.5079759096546426`*^9},
3.507984619692428*^9, 3.507984779674266*^9, 3.5079848384379053`*^9, {
3.507984877965866*^9, 3.5079848818717914`*^9}, 3.5079851131494226`*^9,
3.507985773920704*^9, {3.507986095300877*^9, 3.5079860998478975`*^9},
3.5079861934433737`*^9, 3.5079864357558737`*^9, 3.5079868508439198`*^9,
3.508055431501771*^9, 3.508055482017396*^9, 3.5080667525012207`*^9, {
3.508066808641127*^9, 3.5080668147347994`*^9}, {3.5080670032316337`*^9,
3.5080670035441275`*^9}, 3.5080671247605505`*^9, 3.5080671819469523`*^9, {
3.5080672672421894`*^9, 3.5080672674140615`*^9}, 3.508067325803565*^9,
3.508067410598812*^9, {3.5080675438462534`*^9, 3.5080675536116915`*^9},
3.508067642953726*^9, {3.50806814378786*^9, 3.5080681510689697`*^9},
3.508068295784941*^9, 3.508068678027602*^9, 3.5080700692880745`*^9,
3.508070251061429*^9, 3.508070311730974*^9, 3.508070577410326*^9,
3.508070669157977*^9, 3.508080538921875*^9, 3.508080618328125*^9,
3.508135748880205*^9, {3.5081358189721603`*^9, 3.5081358337686567`*^9},
3.5081359382503567`*^9, 3.508136277976034*^9, 3.508137875681424*^9,
3.5081408186089582`*^9, 3.5081410674948044`*^9, {3.508142789649857*^9,
3.5081428054931*^9}, {3.5081432148706245`*^9, 3.508143215183114*^9},
3.508143275103072*^9, 3.508143337007341*^9, 3.5081434935657167`*^9,
3.508143598109915*^9, {3.5081436321871676`*^9, 3.5081436326715302`*^9}, {
3.5081438056671014`*^9, 3.508143819619869*^9}, 3.508146927805231*^9,
3.5082184858262577`*^9, 3.508219388932926*^9, 3.5082239993769774`*^9,
3.508249929328125*^9, 3.5082572491875*^9, 3.5085840279080925`*^9,
3.508746297166488*^9, {3.508746908930668*^9, 3.50874691768078*^9}, {
3.509438732159642*^9, 3.5094387469560437`*^9}, 3.5094387907046437`*^9,
3.509438912794487*^9, 3.5094390799297633`*^9, {3.509439159442844*^9,
3.509439170676859*^9}, {3.509441509742632*^9, 3.5094415123206744`*^9}, {
3.509441989117916*^9, 3.509441995383341*^9}, 3.5094420538970933`*^9, {
3.512291167890625*^9, 3.512291171046875*^9}, 3.514807309742033*^9,
3.514807340226018*^9, 3.5148073818357215`*^9, 3.514807666495264*^9, {
3.514807749744731*^9, 3.51480775063535*^9}, {3.515410527049373*^9,
3.5154105280961742`*^9}, {3.515410636105558*^9, 3.51541063618368*^9},
3.5157510145665216`*^9, 3.5157513395684147`*^9, {3.515751835125969*^9,
3.515751845641527*^9}, {3.5157524855160723`*^9, 3.5157525046098223`*^9}, {
3.515755626956499*^9, 3.5157556371828833`*^9}, {3.515755667846446*^9,
3.5157557344426537`*^9}, {3.515755808823824*^9, 3.515755809042392*^9},
3.5157558435449123`*^9, {3.515816630695853*^9, 3.5158166584868565`*^9}, {
3.5158166888355045`*^9, 3.515816753883918*^9}, {3.5158234257884183`*^9,
3.5158234325520077`*^9}, {3.5158329407166553`*^9, 3.515833006845851*^9}, {
3.5158331525081763`*^9, 3.5158331611941752`*^9}, 3.515837370356513*^9, {
3.5158375422495604`*^9, 3.515837568653783*^9}, 3.515837650664972*^9, {
3.515837686272752*^9, 3.515837711396626*^9}, 3.5158377437076783`*^9, {
3.5158379047942905`*^9, 3.515837923949805*^9}, {3.515838455571699*^9,
3.5158384661963587`*^9}, 3.515838538959656*^9, {3.515838594957864*^9,
3.51583859584846*^9}, {3.5158386657368484`*^9, 3.5158386707835617`*^9}, {
3.5175591813085575`*^9, 3.5175591864943647`*^9}, {3.517559346395281*^9,
3.517559384649992*^9}, 3.517560362638587*^9, 3.5175605583863688`*^9,
3.517560660235965*^9, 3.5175609081540513`*^9, {3.517573085444038*^9,
3.5175731576264563`*^9}, {3.5175732942418375`*^9, 3.517573294523068*^9}, {
3.517573417733143*^9, 3.5175734179050064`*^9}, {3.5176407328036785`*^9,
3.517640936959842*^9}, {3.5176427809707723`*^9, 3.5176427923919163`*^9}, {
3.5176428359672523`*^9, 3.5176429297737484`*^9}, {3.517644139352225*^9,
3.5176441501953497`*^9}, {3.51764430982678*^9, 3.5176443145140095`*^9}, {
3.5176443743074403`*^9, 3.5176443791509113`*^9}, 3.517654557891719*^9, {
3.5176547561755323`*^9, 3.5176547646736283`*^9}, {3.517654797306942*^9,
3.5176549077040825`*^9}, {3.517654973017574*^9, 3.517655018039647*^9},
3.517655177508711*^9, 3.517655274718128*^9, 3.51765550432975*^9, {
3.517655551405465*^9, 3.517655594746996*^9}, {3.5176557822437086`*^9,
3.51765583133903*^9}, {3.5176558955129585`*^9, 3.517655947780256*^9},
3.5176560520174227`*^9, 3.517656138564297*^9, {3.5176561792361727`*^9,
3.517656232720547*^9}, {3.517656298126797*^9, 3.517656312751797*^9}, {
3.517656376376268*^9, 3.517656409203973*^9}, {3.5176564392348385`*^9,
3.5176564940622616`*^9}, 3.5176565953890896`*^9, {3.517656676294304*^9,
3.5176567499808607`*^9}, 3.517656792011573*^9, {3.5176568308704505`*^9,
3.517656858448222*^9}, {3.517656922447403*^9, 3.5176569976651907`*^9}, {
3.5176574402664065`*^9, 3.5176575150774703`*^9}, {3.5176575741857104`*^9,
3.5176576425593977`*^9}, 3.5221709445625*^9, 3.5224080958809824`*^9,
3.522408261144492*^9, 3.522408325893663*^9, {3.523012524220087*^9,
3.5230125295955343`*^9}, {3.5231841684788556`*^9,
3.5231841685726037`*^9}, {3.5231842421805654`*^9, 3.523184302320036*^9}, {
3.5231844097242236`*^9, 3.5231844142710114`*^9}, {3.5231844475516224`*^9,
3.5231844485359783`*^9}, 3.523184490113305*^9, {3.523184570174268*^9,
3.5231846804846497`*^9}, 3.52318472892122*^9, {3.52419791165625*^9,
3.52419791228125*^9}, 3.524197949203125*^9, {3.524198172234375*^9,
3.524198189546875*^9}, {3.52419822153125*^9, 3.52419824396875*^9},
3.524198372015625*^9, {3.5294071027555623`*^9, 3.5294071942995076`*^9}, {
3.5294079041833687`*^9, 3.5294080304314775`*^9}, 3.5294080771865644`*^9, {
3.529408110627702*^9, 3.529408111002743*^9}, {3.5294081425530505`*^9,
3.5294081542574487`*^9}, 3.529408190214485*^9, 3.529408240888379*^9, {
3.529656572688154*^9, 3.529656713309554*^9}, {3.5296567444025087`*^9,
3.5296568071196527`*^9}, 3.529656838431351*^9, 3.5296578644746165`*^9, {
3.5296579008148775`*^9, 3.52965790131483*^9}, {3.5296579498740826`*^9,
3.5296579570143414`*^9}, 3.529657998293478*^9, {3.5296580334166794`*^9,
3.5296580668055954`*^9}, 3.5296581803154078`*^9, 3.5296600909104433`*^9,
3.529660356016884*^9, 3.5296605178106527`*^9, 3.529660558716117*^9,
3.529660698681288*^9, {3.52966075914849*^9, 3.5296607602265873`*^9},
3.5296608076472483`*^9, {3.529660856505372*^9, 3.529660856661618*^9},
3.529660890176385*^9, 3.5296609274410563`*^9, 3.5296609615651827`*^9,
3.5296616418166885`*^9, 3.5298185410224037`*^9, {3.5377941967639637`*^9,
3.53779419906078*^9}, {3.5377960515417356`*^9, 3.5377960722273827`*^9}, {
3.537796124582066*^9, 3.5377961253007517`*^9}, 3.5377966463197603`*^9,
3.537796686255982*^9, {3.5377967227079406`*^9, 3.5377967259578366`*^9},
3.5377967892839355`*^9, {3.5378667482257032`*^9, 3.537866778146429*^9},
3.537869281917117*^9, {3.5390669372561493`*^9, 3.539066944818407*^9},
3.539067192623516*^9, 3.539070098681507*^9, {3.539074288655052*^9,
3.5390742896405735`*^9}, 3.5390743235550313`*^9, 3.5390744993365517`*^9,
3.539074531271093*^9, 3.539074647938722*^9, 3.5390746881464787`*^9, {
3.5390766232828584`*^9, 3.539076628235349*^9}, 3.5390767724533377`*^9,
3.5390768905365067`*^9, {3.539077415974263*^9, 3.5390774708983064`*^9},
3.5390775021012316`*^9, 3.5390775357103915`*^9, {3.5390775676008124`*^9,
3.539077568553931*^9}, 3.539077600178729*^9, {3.5390777241623106`*^9,
3.539077741896572*^9}, 3.5390777770518084`*^9, {3.539077977248527*^9,
3.5390779947010937`*^9}, {3.539078029731222*^9, 3.539078037371603*^9},
3.5390789417249355`*^9, {3.53909257756535*^9, 3.5390925799403048`*^9}, {
3.53909644603125*^9, 3.53909645*^9}, {3.539096575203125*^9,
3.539096576796875*^9}, 3.539498838359375*^9, {3.53949894290625*^9,
3.539498945421875*^9}, 3.53949968971875*^9, 3.53950039759375*^9, {
3.539500440796875*^9, 3.53950044534375*^9}, {3.5395008923125*^9,
3.539501026984375*^9}, 3.5395010858125*^9, {3.539501136421875*^9,
3.53950113890625*^9}, 3.539501369078125*^9, 3.53950143090625*^9, {
3.539501492171875*^9, 3.539501495796875*^9}, {3.539501588625*^9,
3.539501596953125*^9}, 3.5395016884375*^9, {3.53951393434375*^9,
3.539513936796875*^9}, {3.53951403590625*^9, 3.539514049109375*^9}, {
3.53951408528125*^9, 3.539514161484375*^9}, 3.539514649109375*^9,
3.539514758296875*^9, 3.5395150741875*^9, 3.539516873921875*^9,
3.539516928125*^9, {3.539516987484375*^9, 3.5395170075*^9},
3.539517453890625*^9, {3.539517923734375*^9, 3.539517944453125*^9}, {
3.539518056890625*^9, 3.53951807725*^9}, {3.539518108484375*^9,
3.5395181089375*^9}, {3.5395181679375*^9, 3.539518197890625*^9},
3.5395183031875*^9, 3.5395184761875*^9, {3.539599779988044*^9,
3.539599789315811*^9}, 3.539599983591504*^9, 3.5396001653057976`*^9, {
3.5396027550841975`*^9, 3.53960275728728*^9}, {3.539609998468957*^9,
3.539610011562455*^9}, 3.5396111645871916`*^9, 3.5396116127192125`*^9,
3.539611798122429*^9, 3.5396748821136646`*^9, 3.539677290780535*^9,
3.5396780066587133`*^9, {3.5396817172283554`*^9, 3.5396817211502056`*^9}, {
3.539682149158795*^9, 3.539682151955598*^9}, 3.5396858945788345`*^9, {
3.539686502930862*^9, 3.5396867306375446`*^9}, {3.53968679328868*^9,
3.5396867962416353`*^9}, {3.5396879778953533`*^9, 3.539687996064437*^9}, {
3.5396887155399494`*^9, 3.5396887251957054`*^9}, {3.5396892034010825`*^9,
3.539689206260622*^9}, {3.5396892467785807`*^9, 3.539689250841315*^9}, {
3.5396902565514326`*^9, 3.5396902595045767`*^9}, {3.539690480173218*^9,
3.5396904842512646`*^9}, {3.539690679559497*^9, 3.5396907136055007`*^9}, {
3.53969957509375*^9, 3.539699579125*^9}, {3.539929724346181*^9,
3.539929727064827*^9}, {3.5399320068970613`*^9, 3.539932010475072*^9},
3.539932123315211*^9, {3.5399336147583237`*^9, 3.5399336194137692`*^9}, {
3.53993466719518*^9, 3.5399346750231543`*^9}, 3.539934906734661*^9, {
3.5399350921037292`*^9, 3.53993509599423*^9}, 3.539935333751956*^9,
3.539935679004323*^9, 3.5399359913673277`*^9, 3.5399361133626432`*^9,
3.539940966440029*^9, {3.5399410675149193`*^9, 3.539941094967166*^9}, {
3.5399418156472282`*^9, 3.5399418315529695`*^9}, {3.5399418985976987`*^9,
3.539941917893956*^9}, {3.5399420134065247`*^9, 3.5399420161095634`*^9}, {
3.539943013919119*^9, 3.5399430168094854`*^9}, {3.539943377373589*^9,
3.5399433819358263`*^9}, {3.539944314173362*^9, 3.539944315923295*^9},
3.5399445711791177`*^9, {3.539944704236508*^9, 3.539944707361388*^9},
3.5399556878841906`*^9, 3.540107133731308*^9, 3.5401135751799583`*^9,
3.540123862957486*^9, 3.540126818679536*^9, 3.54547278293554*^9,
3.5454734814658656`*^9, 3.5454737461382704`*^9, 3.5454747596773434`*^9, {
3.5454753356665096`*^9, 3.5454753459787455`*^9}, 3.545475423586134*^9,
3.545475463241369*^9, 3.545475811462127*^9, {3.5454760332503586`*^9,
3.545476042172291*^9}, {3.5454761748137646`*^9, 3.5454761773919063`*^9},
3.5454762399235563`*^9, 3.5454768451964703`*^9, {3.5454769435702114`*^9,
3.5454769454139376`*^9}, 3.5454773751247697`*^9, 3.5454775461214867`*^9,
3.545478240826898*^9, 3.5454813642060833`*^9, 3.545481775463812*^9,
3.554187096754883*^9, 3.5541871749298725`*^9, 3.557740176918231*^9, {
3.5595656117183833`*^9, 3.55956561528045*^9}, {3.5595656565879264`*^9,
3.559565658993884*^9}, {3.56137872668266*^9, 3.5613787412602253`*^9}, {
3.5613789151754217`*^9, 3.561378915456661*^9}, 3.5613821189430175`*^9, {
3.561382542582999*^9, 3.5613825455516353`*^9}, {3.561382675921629*^9,
3.561382715576356*^9}, {3.5613828028542547`*^9, 3.5613828527117147`*^9},
3.561382887788493*^9, 3.561384559660878*^9, {3.5614465102819552`*^9,
3.5614465246101723`*^9}, {3.561446564641633*^9, 3.5614465880315094`*^9},
3.561446622264789*^9, 3.561447049578601*^9, {3.5614471488904653`*^9,
3.5614474108548074`*^9}, {3.5614484955392756`*^9, 3.5614484965392246`*^9},
3.5614485442867794`*^9, 3.5614485834097767`*^9, {3.5614486173299146`*^9,
3.5614486175330296`*^9}, {3.561448664936852*^9, 3.5614486652337117`*^9}, {
3.5614488054296584`*^9, 3.5614488292878118`*^9}, 3.561448885503683*^9,
3.5614489450787582`*^9, {3.5614489915920014`*^9, 3.5614489917326193`*^9},
3.561449077306973*^9, 3.561449123494473*^9, {3.561449706983009*^9,
3.56144973798162*^9}, 3.561701127547378*^9, {3.5617012050270205`*^9,
3.5617012539451385`*^9}, {3.5617012868176136`*^9, 3.561701333829628*^9}, {
3.5617014039804897`*^9, 3.561701404527323*^9}, {3.561701468459876*^9,
3.5617014691316905`*^9}, 3.561701554374052*^9, {3.5617015887615957`*^9,
3.561701590855158*^9}, 3.561701624981912*^9, {3.5617016558586903`*^9,
3.561701683438404*^9}, 3.561702122068082*^9, {3.5667383807419624`*^9,
3.5667384649131813`*^9}, {3.566739251306733*^9, 3.5667393020886335`*^9}, {
3.566739468152731*^9, 3.5667394950900583`*^9}, 3.566739542089758*^9,
3.566739925850556*^9, {3.5668102679932523`*^9, 3.566810344669464*^9}, {
3.5668117047479663`*^9, 3.5668117089821787`*^9}, {3.5668126769606323`*^9,
3.566812677710603*^9}, 3.566812907170542*^9, {3.5668129434816475`*^9,
3.5668129687619267`*^9}, 3.566813050383792*^9, {3.5668130871323805`*^9,
3.5668131318025403`*^9}, {3.566813162535735*^9, 3.566813165379376*^9},
3.566813217721116*^9, {3.5668132502042437`*^9, 3.5668132791406326`*^9},
3.5668133250138707`*^9, {3.5668133655435643`*^9, 3.566813371621456*^9},
3.566814402675612*^9, {3.5668144993593993`*^9, 3.566814594465122*^9}, {
3.5866729557732754`*^9, 3.5866730621090508`*^9}, {3.5866744272087746`*^9,
3.5866744758631563`*^9}, {3.587363611090418*^9, 3.587363615840327*^9}, {
3.587364090831207*^9, 3.5873640944405127`*^9}, {3.5873653180588894`*^9,
3.5873653184500074`*^9}, {3.587365866797224*^9, 3.587365932107869*^9},
3.5873669110145593`*^9, {3.587366953311164*^9, 3.58736699287341*^9},
3.587367143668518*^9, 3.58736717376169*^9, {3.587367544290922*^9,
3.5873675444628105`*^9}, 3.587380067821095*^9, 3.587380111758314*^9,
3.5877095030502963`*^9, {3.5877096254971514`*^9, 3.5877096336217356`*^9}, {
3.587709702133853*^9, 3.5877097828797183`*^9}, 3.5877098811715603`*^9,
3.58770992659111*^9, 3.5877100780208564`*^9, 3.587710113862771*^9, {
3.587710159704174*^9, 3.5877101913275547`*^9}, {3.5877102255289288`*^9,
3.58771022862252*^9}, {3.587710308134074*^9, 3.587710335726411*^9},
3.58771037567749*^9, 3.5877104062228017`*^9, {3.5877105646678133`*^9,
3.5877105699800415`*^9}, {3.5877106030123763`*^9, 3.5877106265359354`*^9},
3.587710658764939*^9, {3.5877107869581194`*^9, 3.587710815855798*^9}, {
3.587710850819002*^9, 3.5877108517461166`*^9}, {3.5877108837341995`*^9,
3.5877109106477227`*^9}, {3.587710947299589*^9, 3.587710972757058*^9}, {
3.587711011146796*^9, 3.587711042428483*^9}, 3.5877111961108727`*^9, {
3.587711233808787*^9, 3.5877112348251133`*^9}, 3.5877126438174906`*^9,
3.5877142431110325`*^9, 3.5877143101748643`*^9, {3.5877206392732067`*^9,
3.587720675976096*^9}, {3.587720714210227*^9, 3.5877207672723875`*^9}, {
3.5877208055221424`*^9, 3.587720874521701*^9}, 3.5877209061464987`*^9, {
3.5877209407087774`*^9, 3.587720987317854*^9}, {3.587721348159294*^9,
3.5877214084870334`*^9}, {3.587722513120589*^9, 3.587722513526836*^9},
3.587722582635769*^9, {3.5877270239887*^9, 3.587727044566693*^9}, {
3.5877279341235*^9, 3.5877279645920544`*^9}, {3.5877281095688767`*^9,
3.5877281106314516`*^9}, {3.5877281451495066`*^9, 3.58772814818097*^9},
3.587728197856342*^9, 3.587728238202932*^9, 3.5877282884877214`*^9, {
3.587728365942534*^9, 3.587728370317618*^9}, {3.5877284007713275`*^9,
3.587728402786991*^9}, 3.587728441412733*^9, 3.587728474632121*^9, {
3.58772851755482*^9, 3.587728518476712*^9}, {3.587728635353407*^9,
3.5877286888693743`*^9}, 3.5877287243539762`*^9, {3.5877290644633255`*^9,
3.5877290931037674`*^9}, 3.587876217138255*^9, {3.587876256495615*^9,
3.5878762969310446`*^9}, 3.5879799936555157`*^9, {3.587980030420435*^9,
3.587980031373542*^9}, 3.5879804805211678`*^9, {3.5879805731443896`*^9,
3.5879805843472996`*^9}, 3.587980614518595*^9, {3.587980684860995*^9,
3.587980721922783*^9}, {3.587980787687145*^9, 3.587980809999217*^9},
3.587981233334839*^9, {3.5879826483545446`*^9, 3.5879827485244966`*^9},
3.5879827806195803`*^9, {3.587982814700759*^9, 3.5879828416406727`*^9}, {
3.5879830450964003`*^9, 3.5879830959579926`*^9}, {3.587983135974386*^9,
3.587983214569645*^9}, {3.5879835194943647`*^9, 3.5879835633537397`*^9}, {
3.590740845392251*^9, 3.590740856141632*^9}, 3.5907409344652452`*^9,
3.5907409721818223`*^9, {3.591335975726308*^9, 3.591335991851308*^9},
3.591336040116933*^9, {3.591336220629821*^9, 3.591336249112555*^9},
3.591336317264879*^9, {3.5913363488880577`*^9, 3.591336351122304*^9}, {
3.591336471427874*^9, 3.591336474912025*^9}, {3.591336615002004*^9,
3.591336617736764*^9}, {3.591336652429148*^9, 3.59133670599919*^9},
3.591336777118577*^9, {3.5913368092481003`*^9, 3.5913368946027365`*^9}, {
3.591336925727936*^9, 3.5913369826033*^9}, {3.5913372266499243`*^9,
3.5913372839914722`*^9}, 3.5913373301928234`*^9, 3.5913373746911144`*^9, {
3.5913374935145826`*^9, 3.591337494920761*^9}, 3.5913375389028835`*^9, {
3.5913379516214476`*^9, 3.5913379564028506`*^9}, {3.591337993263405*^9,
3.5913379969353976`*^9}, {3.5913380341553383`*^9,
3.5913380751253996`*^9}, {3.5913395755672054`*^9,
3.5913396046596527`*^9}, {3.591339656766693*^9, 3.5913396691411543`*^9}, {
3.5949912462067156`*^9, 3.594991258440699*^9}, 3.5949912927208524`*^9, {
3.595330913372366*^9, 3.595330949727552*^9}, 3.599303915727915*^9, {
3.5993039526786747`*^9, 3.5993039570221467`*^9}, 3.599303987301459*^9,
3.5993061200455675`*^9, 3.599306173370621*^9, 3.5993062450380507`*^9,
3.599306275692339*^9, {3.5993063488595304`*^9, 3.5993063749672346`*^9},
3.5993065300354347`*^9, {3.5993067132112107`*^9, 3.599306752396203*^9}, {
3.599306823469779*^9, 3.5993068254540267`*^9}, {3.5993071211538506`*^9,
3.5993071218569307`*^9}, {3.5993074267436666`*^9, 3.599307427759227*^9}, {
3.599307467100459*^9, 3.599307468709731*^9}, {3.5993076017168427`*^9,
3.5993076030136347`*^9}, {3.599308154040867*^9, 3.599308176883155*^9}, {
3.5993091754911146`*^9, 3.599309251189395*^9}, {3.599309300030019*^9,
3.599309320966179*^9}, 3.599309413116531*^9, {3.5993094630508347`*^9,
3.5993094639882746`*^9}, {3.599309603854323*^9, 3.599309669678235*^9}, {
3.6754893663675423`*^9, 3.6754893793088284`*^9}, 3.675490000361731*^9, {
3.675490032995223*^9, 3.675490059181106*^9}, {3.675490671650895*^9,
3.675490673636162*^9}, 3.67549128452777*^9, {3.675491403100926*^9,
3.675491404413027*^9}, 3.675492645544639*^9, {3.675494204751746*^9,
3.675494230046731*^9}, {3.675494276462493*^9, 3.6754943567738934`*^9}, {
3.675494946097176*^9, 3.675494976368373*^9}, {3.675495353266371*^9,
3.6754953548343077`*^9}, {3.6754959098721933`*^9, 3.675495915600402*^9}, {
3.6754975122235613`*^9, 3.675497512286663*^9}, {3.67549928811489*^9,
3.675499288879383*^9}, {3.675500197762494*^9, 3.675500223029269*^9},
3.675500440105142*^9, {3.675503330214094*^9, 3.6755033379216003`*^9}, {
3.67550355118607*^9, 3.675503567043745*^9}, {3.675503742990684*^9,
3.6755037465724897`*^9}, {3.675504005354491*^9, 3.675504063114214*^9},
3.675506511556176*^9, 3.675506609959874*^9, 3.675573319246907*^9,
3.6755740387014647`*^9, {3.675576677767934*^9, 3.6755766845262136`*^9}, {
3.675576766406516*^9, 3.675576766477866*^9}, 3.675577394072981*^9, {
3.6755780104137793`*^9, 3.675578010500705*^9}, 3.6755782433976097`*^9,
3.675578562209894*^9, 3.6755786394790993`*^9, {3.6755792338992367`*^9,
3.675579233954535*^9}, 3.6755796820440197`*^9, 3.675579954733035*^9,
3.6755800418116293`*^9, 3.675580211726816*^9, 3.675580243717701*^9, {
3.675580478581164*^9, 3.675580478667295*^9}, 3.675580563445917*^9,
3.6755806963133307`*^9, 3.6755807993593903`*^9, {3.675580862368319*^9,
3.675580863342966*^9}, {3.675581049642425*^9, 3.675581072901848*^9},
3.6755818106042547`*^9, {3.6755823470148287`*^9, 3.6755823471421556`*^9},
3.675583527686455*^9, {3.675583614300074*^9, 3.675583614556834*^9},
3.6755845281148252`*^9, 3.6755846022651567`*^9, 3.675586374182004*^9,
3.675588886340119*^9, {3.675588988214899*^9, 3.6755889996296873`*^9}, {
3.675591855001813*^9, 3.6755918988641357`*^9}, {3.675592675129838*^9,
3.675592707184021*^9}, 3.675592788606213*^9, {3.675592819813377*^9,
3.675592855781044*^9}, {3.675592888095161*^9, 3.67559291735957*^9},
3.6755929494661827`*^9, 3.675592981627743*^9, {3.6755933067538033`*^9,
3.6755933084962187`*^9}, {3.6755934585841846`*^9, 3.675593517112535*^9}, {
3.6755935495146313`*^9, 3.675593599963725*^9}, {3.675661473786278*^9,
3.675661545295393*^9}, {3.6756624430959377`*^9, 3.675662499835128*^9}, {
3.6756626811202593`*^9, 3.675662734957322*^9}, {3.6756627814270782`*^9,
3.675662781624571*^9}, {3.675662926894875*^9, 3.6756629303567133`*^9}, {
3.675663112302496*^9, 3.675663125748403*^9}, {3.6756633418719482`*^9,
3.675663358825506*^9}, 3.675663413856639*^9, 3.6756634562249937`*^9, {
3.675663531950955*^9, 3.6756635391891613`*^9}, 3.675664064905348*^9, {
3.675664693493857*^9, 3.675664696182089*^9}, {3.6756647722230587`*^9,
3.675664775927124*^9}, 3.6756648437840977`*^9, {3.675664894091113*^9,
3.6756649817116127`*^9}, 3.675665098841316*^9, {3.675665981971162*^9,
3.675665991131029*^9}, {3.6756661023282824`*^9, 3.675666125771152*^9}, {
3.675668048764954*^9, 3.67566805377162*^9}, 3.675668133107194*^9, {
3.675668575677639*^9, 3.675668602076777*^9}, {3.67567923167134*^9,
3.675679252606127*^9}, {3.675679681795384*^9, 3.675679686875463*^9}, {
3.6756808007459507`*^9, 3.675680808528676*^9}, 3.675681294571567*^9, {
3.6756840670922213`*^9, 3.675684067227604*^9}, {3.675684437936102*^9,
3.675684468641903*^9}, {3.675684893266984*^9, 3.675684893384817*^9},
3.67574118012134*^9, 3.675741515968162*^9, 3.675741887608408*^9,
3.675742055232905*^9, {3.6757517625383043`*^9, 3.675751770376307*^9}, {
3.675751960695045*^9, 3.675751964581355*^9}, {3.6757521326452417`*^9,
3.675752133859741*^9}, 3.6757523256894073`*^9, 3.675752851197487*^9, {
3.67575300311469*^9, 3.675753003298308*^9}, 3.675753064430559*^9, {
3.675753220205398*^9, 3.675753229522196*^9}, {3.675754164376206*^9,
3.675754169730995*^9}, {3.675754224221744*^9, 3.675754225826242*^9}, {
3.675754484828269*^9, 3.675754485546513*^9}, {3.67575878437341*^9,
3.675758794432081*^9}, {3.675758850209077*^9, 3.675758850679884*^9},
3.675760217982682*^9, 3.675760998756679*^9, {3.6757653372711487`*^9,
3.675765358365851*^9}, 3.675765411822945*^9, {3.675765553209161*^9,
3.675765588537822*^9}, 3.675765803027237*^9, 3.675765951837552*^9,
3.675765985277906*^9, {3.6760286490348063`*^9, 3.676028680854323*^9},
3.676029073342558*^9, {3.676087821116665*^9, 3.676087834138485*^9}, {
3.676088177979604*^9, 3.676088178122925*^9}, 3.676088530081785*^9, {
3.676088793725481*^9, 3.676088814239834*^9}, 3.676089135893355*^9,
3.6760892677081633`*^9, {3.676089315441539*^9, 3.676089321057549*^9}, {
3.676089418549264*^9, 3.676089423061206*^9}, 3.676265470698697*^9, {
3.676265590030059*^9, 3.676265591549307*^9}, {3.6762657121798887`*^9,
3.676265737220957*^9}, 3.688819780767004*^9, {3.688819842722384*^9,
3.68881985405923*^9}, {3.688820871816423*^9, 3.6888208803586807`*^9},
3.689330900945142*^9, {3.6893322672632847`*^9, 3.689332308543806*^9},
3.6893326035868063`*^9, 3.6893326381183367`*^9, 3.689332714472136*^9, {
3.689332759268017*^9, 3.689332770210205*^9}, 3.689511071093994*^9,
3.689511318346916*^9, {3.6895113755443697`*^9, 3.689511380697693*^9}, {
3.689511448146702*^9, 3.689511448241774*^9}, 3.689511543876886*^9, {
3.6895115771532288`*^9, 3.689511591471978*^9}, {3.689512327397571*^9,
3.6895123309273443`*^9}, 3.689512408224142*^9, {3.689512993519153*^9,
3.689512995501445*^9}, {3.689576135205473*^9, 3.689576137252872*^9}, {
3.689577461272143*^9, 3.689577493840137*^9}, {3.6895775915393543`*^9,
3.689577625835136*^9}, {3.689577793494166*^9, 3.689577828819372*^9}, {
3.689577944649848*^9, 3.689577980508027*^9}, {3.689578335700552*^9,
3.689578346534554*^9}, 3.6895784615319567`*^9, 3.689578570993909*^9,
3.68959647376092*^9, 3.689596812978572*^9, 3.6895968779606524`*^9,
3.6895975047568283`*^9, 3.6895976577508583`*^9, 3.6895976968988*^9,
3.6895979946865587`*^9, {3.689598258274116*^9, 3.689598264408296*^9}, {
3.689933558395503*^9, 3.689933559361388*^9}, {3.689933594573648*^9,
3.689933635848103*^9}, 3.69018140544785*^9, {3.6901814435727158`*^9,
3.690181449326228*^9}, {3.690196512473411*^9, 3.690196513231164*^9},
3.690196543992725*^9, 3.690197528578885*^9, 3.690198646561775*^9,
3.690200374307849*^9, 3.69848826734474*^9, 3.698488307206552*^9,
3.698488339412668*^9, 3.6984883731751223`*^9, {3.6984884192014637`*^9,
3.698488426449091*^9}, 3.698488457931148*^9, 3.6984884962465982`*^9,
3.6984885398728333`*^9, 3.698570675460497*^9, {3.698570734205394*^9,
3.698570736981148*^9}, 3.69857167278785*^9, {3.698571734979237*^9,
3.69857174932397*^9}, {3.698571865590847*^9, 3.69857187963288*^9},
3.698571994149013*^9, {3.698572795976593*^9, 3.6985728061491632`*^9}, {
3.6985728613852863`*^9, 3.698572890111703*^9}, {3.698572926163402*^9,
3.698572937953527*^9}, {3.698573748812241*^9, 3.698573756144579*^9},
3.69857382274842*^9, {3.6985743029396257`*^9, 3.6985743091140327`*^9},
3.698574384933936*^9, {3.6985744604945908`*^9, 3.698574484206603*^9}, {
3.6985747073169537`*^9, 3.698574707405169*^9}, 3.698574755975725*^9,
3.698575951199135*^9, 3.698576161867188*^9, {3.6985765556416273`*^9,
3.6985765628999434`*^9}, {3.698576608547415*^9, 3.6985766175014*^9}, {
3.698576653973961*^9, 3.698576654107543*^9}, 3.698576695999716*^9,
3.6985767373479033`*^9, {3.698640412844397*^9, 3.698640419381659*^9}, {
3.698640516341908*^9, 3.6986405295937967`*^9}, 3.6986405677738457`*^9, {
3.698640603991375*^9, 3.698640609335558*^9}, 3.698640757840788*^9, {
3.702881291073346*^9, 3.702881347423855*^9}, {3.7028844182766867`*^9,
3.702884419059163*^9}, {3.702884698589424*^9, 3.702884750206341*^9}, {
3.702885269271583*^9, 3.7028852785192537`*^9}, 3.702885377528166*^9, {
3.70288542312598*^9, 3.70288542334801*^9}, {3.702885471027049*^9,
3.702885471135579*^9}, {3.7028855221470118`*^9, 3.702885522336932*^9},
3.7028872187765293`*^9, {3.703220556866403*^9, 3.7032205636244373`*^9},
3.703221543665739*^9, 3.703221703434815*^9, {3.703222468458372*^9,
3.7032224714898853`*^9}, {3.703222914463873*^9, 3.703222918079871*^9},
3.703222992120963*^9, 3.703223072837613*^9, 3.7032251791809464`*^9, {
3.70322551889783*^9, 3.703225531044882*^9}, 3.703225817691751*^9,
3.703227165436923*^9, {3.703231576421381*^9, 3.703231582749611*^9}, {
3.703231817091543*^9, 3.703231825506966*^9}, {3.7032320622249327`*^9,
3.703232067471512*^9}, 3.703232442682899*^9, {3.7032354722014723`*^9,
3.7032354990567017`*^9}, {3.703235641689762*^9, 3.703235642279457*^9},
3.703235965065544*^9, {3.703236012778432*^9, 3.703236019691016*^9},
3.7032360785823717`*^9, {3.725102287766962*^9, 3.72510231433665*^9}, {
3.725102598125004*^9, 3.725102598322029*^9}, {3.725102655229776*^9,
3.725102655365117*^9}, {3.725102703222239*^9, 3.7251027040545588`*^9}, {
3.725102750977323*^9, 3.7251027878420773`*^9}, 3.725103127636733*^9,
3.725103762948731*^9, {3.7251068347915287`*^9, 3.72510684092809*^9},
3.7251823309349127`*^9, 3.7251827335401173`*^9, {3.725182980492811*^9,
3.725182988253188*^9}, 3.725183267157152*^9, {3.725184235790845*^9,
3.725184244314703*^9}, 3.7251852992031918`*^9, {3.726378695915021*^9,
3.726378697559986*^9}, {3.72637879721192*^9, 3.726378797715077*^9}, {
3.726378874501945*^9, 3.726378874684507*^9}, {3.7263789575645742`*^9,
3.726378958340905*^9}, {3.7263811600162973`*^9, 3.726381160408154*^9},
3.726382098366169*^9, 3.726384956227231*^9, {3.7271675810516987`*^9,
3.72716761002009*^9}, 3.727167666048156*^9, {3.7271677502699957`*^9,
3.727167750413083*^9}, {3.7271678404566307`*^9, 3.727167887484466*^9}, {
3.7271680246135674`*^9, 3.727168026444868*^9}, 3.728036118050968*^9,
3.7323564236335382`*^9, 3.7323565102608957`*^9, 3.732356615569848*^9, {
3.732356830729144*^9, 3.732356832741847*^9}, 3.732356880737362*^9,
3.7323569833880053`*^9, 3.741502622995632*^9, {3.741503207948773*^9,
3.741503230091269*^9}, {3.7415037272713127`*^9, 3.7415037332755938`*^9}, {
3.741516402455052*^9, 3.741516405670321*^9}, {3.74151752347845*^9,
3.7415175388847513`*^9}, 3.741518071205618*^9, {3.741518206053*^9,
3.741518217971953*^9}, {3.74151833332942*^9, 3.7415183456316833`*^9},
3.741518417770588*^9, {3.741519134863996*^9, 3.741519169939499*^9},
3.7415193719251204`*^9, 3.741519930406818*^9, {3.741520729446954*^9,
3.741520761454743*^9}, 3.741520856333705*^9, {3.741521137421002*^9,
3.74152114838694*^9}, {3.741521248127235*^9, 3.7415212545742493`*^9},
3.741521375259691*^9, {3.741521695662095*^9, 3.741521700427568*^9},
3.741521804177812*^9, 3.741522585476904*^9, {3.741523768582219*^9,
3.741523774084572*^9}, 3.7415238645914*^9, {3.741584078032941*^9,
3.7415841200987673`*^9}, 3.741584244950305*^9, {3.7415853426295023`*^9,
3.741585349188615*^9}, 3.7415855378843927`*^9, 3.7415857677523327`*^9, {
3.7415870274218616`*^9, 3.741587043954762*^9}, {3.741587860493389*^9,
3.741587862546987*^9}, {3.7415881056552067`*^9, 3.741588118533279*^9}, {
3.741588221418523*^9, 3.741588223928691*^9}, {3.7415895556761417`*^9,
3.741589558456188*^9}, {3.741593831554907*^9, 3.741593834489889*^9}, {
3.741594043049673*^9, 3.741594063452374*^9}, 3.741594181472774*^9,
3.741594356108467*^9, {3.741594589854357*^9, 3.7415946261595182`*^9}, {
3.741594803935577*^9, 3.741594807180271*^9}, 3.7415950303979483`*^9, {
3.741595161319841*^9, 3.7415951682293053`*^9}, {3.7415997747035923`*^9,
3.741599781947571*^9}, {3.7416001611382647`*^9, 3.7416001727662888`*^9}, {
3.741600729494721*^9, 3.7416007334330893`*^9}, 3.741600893441992*^9,
3.741601124785056*^9, {3.7416012931075087`*^9, 3.741601302190469*^9}, {
3.74160156962326*^9, 3.741601575549101*^9}, {3.7416017075464*^9,
3.741601719274527*^9}, {3.741602977871681*^9, 3.7416029965794277`*^9}, {
3.7416031458413963`*^9, 3.741603154704603*^9}, 3.74160326027919*^9,
3.74160333997374*^9, {3.741924216550679*^9, 3.741924228170656*^9}, {
3.741924799141416*^9, 3.741924818595625*^9}, 3.741925407874755*^9,
3.741925917376979*^9, {3.741926071932479*^9, 3.7419260891716843`*^9}, {
3.741927430647121*^9, 3.741927437981081*^9}, 3.741927702334165*^9, {
3.7419278569723787`*^9, 3.741927861321916*^9}, 3.7419281211878366`*^9,
3.742193579794348*^9, {3.7421936996921587`*^9, 3.742193699786714*^9},
3.742193827830645*^9, {3.742196683405423*^9, 3.74219668873915*^9}, {
3.7425602949763927`*^9, 3.7425603099261093`*^9}, 3.742560494688843*^9, {
3.742560738961364*^9, 3.742560757013648*^9}, 3.742561090732068*^9,
3.7425625406773357`*^9, 3.742641697034952*^9, 3.742641984539033*^9, {
3.742642118709716*^9, 3.742642130775943*^9}, {3.7426424406519423`*^9,
3.742642474028532*^9}, {3.742715097636271*^9, 3.742715104415284*^9},
3.7427151960838127`*^9, 3.742715276533578*^9, 3.74271538440269*^9, {
3.742715612915489*^9, 3.742715634090992*^9}, 3.742727068402075*^9,
3.742727113279695*^9, {3.74272747851413*^9, 3.742727496759351*^9}, {
3.742727937314459*^9, 3.742727939320403*^9}, {3.74279335989612*^9,
3.742793375236335*^9}, 3.742793486401425*^9, {3.742794381820746*^9,
3.742794397511327*^9}, 3.7427948058272963`*^9, {3.742795955010215*^9,
3.742795967346511*^9}, {3.7427960903240747`*^9, 3.7427960931362133`*^9}, {
3.742796658120125*^9, 3.742796663852785*^9}, {3.742796855211213*^9,
3.7427968595094433`*^9}, 3.742797069681123*^9, {3.742797497570993*^9,
3.742797501788065*^9}, {3.742797833388291*^9, 3.7427978398226223`*^9}, {
3.7427979704612637`*^9, 3.742797970562613*^9}, {3.742798010669024*^9,
3.7427980239129763`*^9}, {3.742798214125886*^9, 3.742798216939937*^9}, {
3.742803665575947*^9, 3.74280367589054*^9}, 3.742803958831366*^9, {
3.742804097670953*^9, 3.7428041015385*^9}, 3.7428063720996532`*^9, {
3.742806425429687*^9, 3.742806425582018*^9}, 3.7428065720986*^9,
3.7428066970069027`*^9, 3.742806837507661*^9, {3.7428070020960293`*^9,
3.742807016039979*^9}, 3.74280746929687*^9, {3.742807613579514*^9,
3.742807624673541*^9}, {3.742807731698855*^9, 3.7428077396638527`*^9}, {
3.742808549682637*^9, 3.7428085497637043`*^9}, 3.742808659234166*^9,
3.742808740255684*^9, {3.742808886215139*^9, 3.7428089001212597`*^9}, {
3.742809469230847*^9, 3.7428094697369003`*^9}, 3.742809776461266*^9,
3.742810152200182*^9, {3.7428104348916607`*^9, 3.742810443115748*^9}, {
3.74281068065516*^9, 3.7428106834882107`*^9}, 3.742813990812496*^9, {
3.743919463691641*^9, 3.743919465215744*^9}, 3.745042708908691*^9, {
3.74504290506945*^9, 3.7450429086385727`*^9}, {3.745063721070002*^9,
3.7450637332043667`*^9}, 3.745063937372735*^9, 3.745120469214099*^9,
3.745121429292511*^9, 3.745121665051835*^9, {3.745122049179893*^9,
3.745122058394094*^9}, 3.745123110010868*^9, {3.745124485400577*^9,
3.745124485653459*^9}, {3.7451251106004257`*^9, 3.7451251107227373`*^9}, {
3.745125636045087*^9, 3.745125650958589*^9}, 3.745125885488879*^9, {
3.7451348599695997`*^9, 3.74513487649086*^9}, {3.7451350154719477`*^9,
3.745135015981015*^9}, 3.745135161986471*^9, 3.74513528132906*^9,
3.74513536511869*^9, {3.745135507395114*^9, 3.7451355159400597`*^9}, {
3.745135722552835*^9, 3.745135733648754*^9}, 3.745135900401778*^9, {
3.7451360525314083`*^9, 3.7451360758431053`*^9}, {3.7451363370170097`*^9,
3.7451363647734537`*^9}, 3.745136533702045*^9, {3.745137332593294*^9,
3.745137340801713*^9}, {3.745137605901257*^9, 3.7451376110661287`*^9}, {
3.745138229675688*^9, 3.7451382391814737`*^9}, {3.74513860024739*^9,
3.745138610161974*^9}, {3.745138658105397*^9, 3.7451386581994467`*^9}, {
3.7451387791655273`*^9, 3.745138785632292*^9}, {3.7451389170629473`*^9,
3.7451389259800863`*^9}, {3.7451391852161713`*^9, 3.745139192856558*^9}, {
3.745139672981344*^9, 3.745139689555229*^9}, {3.745139873431726*^9,
3.745139892946424*^9}, 3.745139966605578*^9, {3.745140130860224*^9,
3.745140144630311*^9}, 3.7451403168760023`*^9, 3.745140455547063*^9, {
3.745141739531933*^9, 3.745141766959777*^9}, {3.745141935609771*^9,
3.7451419367275267`*^9}, {3.7451421637050247`*^9, 3.745142167900762*^9},
3.745142241135027*^9, 3.7451425722522583`*^9, {3.745142647603923*^9,
3.745142705279789*^9}, 3.745143002696371*^9, {3.745143118945108*^9,
3.745143139137504*^9}, {3.7451434357207813`*^9, 3.745143462383171*^9},
3.7451435462623873`*^9, {3.745143720431542*^9, 3.74514373278821*^9},
3.7451439690730143`*^9, {3.745144019628829*^9, 3.745144027696662*^9}, {
3.745144829698596*^9, 3.7451448403709717`*^9}, {3.745145165362767*^9,
3.74514516912075*^9}, 3.7451454478185987`*^9, 3.745145699611697*^9, {
3.745145963578107*^9, 3.745145979586566*^9}, 3.745146072121565*^9, {
3.7451463016515093`*^9, 3.745146301808318*^9}, 3.7451463464211683`*^9, {
3.745147199638997*^9, 3.745147208374598*^9}, 3.745147269612056*^9, {
3.7451473867358217`*^9, 3.7451473904626503`*^9}, {3.7451474618590307`*^9,
3.74514746192318*^9}, {3.745147506230835*^9, 3.74514750914995*^9}, {
3.7451477423921547`*^9, 3.7451477452536182`*^9}, 3.745147972468961*^9,
3.745148074136897*^9, 3.7451481663479767`*^9, {3.745148318823215*^9,
3.74514832099396*^9}, {3.745157354591712*^9, 3.7451573799015303`*^9}, {
3.7452318327821493`*^9, 3.7452318641213417`*^9}, {3.745232083222934*^9,
3.74523209589425*^9}, 3.745232600581208*^9, 3.745233068236011*^9, {
3.745234620114401*^9, 3.745234634282742*^9}, 3.7452346750784483`*^9, {
3.7483231739215927`*^9, 3.748323178185758*^9}, 3.7483234035468597`*^9, {
3.748323672705996*^9, 3.7483237366804667`*^9}, 3.748323915268959*^9,
3.751179290460177*^9, {3.751179441431563*^9, 3.7511794537448378`*^9},
3.751179538047144*^9, {3.751180784638358*^9, 3.751180810660798*^9}, {
3.751180883231577*^9, 3.751180888960444*^9}, 3.7511809749412603`*^9, {
3.7511815074649277`*^9, 3.751181563817436*^9}, {3.7511816828287*^9,
3.751181689456657*^9}, {3.751282298921958*^9, 3.751282319936253*^9},
3.751282406063755*^9, 3.751283904060341*^9, {3.751284037152129*^9,
3.75128409528223*^9}, 3.764045291502083*^9, {3.764045735111595*^9,
3.764045740526724*^9}, {3.764046069929953*^9, 3.764046301337674*^9}, {
3.764317155032907*^9, 3.764317158764031*^9}, 3.764317413657866*^9, {
3.764317538067281*^9, 3.764317539025168*^9}, {3.764323204711409*^9,
3.764323205926217*^9}, {3.764323472160507*^9, 3.764323479830418*^9}, {
3.764323523495624*^9, 3.764323551287589*^9}, {3.764323836146596*^9,
3.764323836293797*^9}, {3.764323968481639*^9, 3.7643239734219923`*^9}, {
3.764324684309977*^9, 3.7643247240773087`*^9}, {3.764324817568763*^9,
3.764324817928389*^9}, 3.764324911267727*^9, 3.764325074649951*^9, {
3.764325688001285*^9, 3.764325692144463*^9}, 3.764325979243268*^9, {
3.7650952410454283`*^9, 3.765095244214408*^9}, {3.765095274829747*^9,
3.76509527760384*^9}, {3.76509532258915*^9, 3.765095326307782*^9},
3.765095457078372*^9, 3.765095677862589*^9, {3.765620380457285*^9,
3.765620381397801*^9}, 3.765620495834428*^9, {3.765620969935482*^9,
3.76562103867796*^9}, 3.765621221538965*^9, {3.765778840811874*^9,
3.765778911101198*^9}, {3.7657792056282663`*^9, 3.76577929688209*^9}, {
3.765779330667839*^9, 3.765779341479648*^9}, 3.765779404148398*^9, {
3.765779491762384*^9, 3.76577951062136*^9}, {3.765779759181547*^9,
3.765779915323206*^9}, {3.76578024686793*^9, 3.765780286961155*^9},
3.765784154977983*^9, {3.765785053510644*^9, 3.765785054031136*^9},
3.765785351574943*^9, {3.765786208362837*^9, 3.7657862085996428`*^9}, {
3.765786586669592*^9, 3.765786605208144*^9}, {3.765786837766774*^9,
3.765786862575377*^9}, {3.765786943365555*^9, 3.765786955259923*^9},
3.765787070805151*^9, {3.7657872263694153`*^9, 3.7657872422064323`*^9},
3.765787410042466*^9, {3.765787626546465*^9, 3.765787662111435*^9}, {
3.765787971560961*^9, 3.765787979718794*^9}, 3.765788496045641*^9,
3.7657886551645937`*^9, {3.7657886966238413`*^9, 3.7657887901565657`*^9}, {
3.765872272934662*^9, 3.765872273179552*^9}, {3.765872401578075*^9,
3.765872414440852*^9}, 3.7658732229936457`*^9, {3.765873363588806*^9,
3.7658733669697638`*^9}, 3.76587339924433*^9, {3.765873510009564*^9,
3.765873520879603*^9}, {3.765873631959076*^9, 3.765873655060102*^9}, {
3.7658737288638363`*^9, 3.765873738037992*^9}, 3.7658738258682327`*^9,
3.765873904134181*^9, {3.765873978841159*^9, 3.76587400397514*^9}, {
3.7658740847466793`*^9, 3.765874097231244*^9}, 3.765874211958263*^9, {
3.76587429729069*^9, 3.765874300470871*^9}, {3.765874424321439*^9,
3.765874444397111*^9}, 3.76587452280725*^9, {3.7658746370635138`*^9,
3.7658746448697643`*^9}, {3.765874776267268*^9, 3.7658747846418467`*^9}, {
3.765874999608766*^9, 3.765875029503374*^9}, {3.765875143614791*^9,
3.765875152956561*^9}, 3.7658753201956873`*^9, {3.765875382669806*^9,
3.7658754147401237`*^9}, {3.765875523927723*^9, 3.7658755415053864`*^9}, {
3.7658756140346537`*^9, 3.765875632813282*^9}, {3.765875735948365*^9,
3.765875756476738*^9}, {3.7658758694683228`*^9, 3.765875888394127*^9}, {
3.7658759586311617`*^9, 3.765875961665483*^9}, {3.765876073576117*^9,
3.765876097710253*^9}, {3.7658761658200407`*^9, 3.765876178809737*^9},
3.765879114192946*^9, {3.765879230675261*^9, 3.765879244011683*^9}, {
3.765879354585001*^9, 3.76587936838332*^9}, {3.765879432710683*^9,
3.765879447487907*^9}, 3.774960109234859*^9, {3.898150982205954*^9,
3.898150982756105*^9}, {3.8981538652209044`*^9, 3.898153867715612*^9}, {
3.898155835804109*^9, 3.8981558529613867`*^9}, {3.8982319809896584`*^9,
3.8982319813747263`*^9}, {3.910425338457177*^9, 3.910425338701661*^9}, {
3.910427275641923*^9, 3.9104272759242973`*^9}, {3.910427318173119*^9,
3.910427319052661*^9}, {3.910428358302753*^9, 3.910428359154929*^9}, {
3.910431098565918*^9, 3.910431118086087*^9}, {3.910431177763694*^9,
3.910431185817574*^9}, 3.9104313030507812`*^9, {3.910431388339168*^9,
3.910431403380171*^9}, {3.9104352681962852`*^9, 3.910435302814054*^9},
3.910435641900106*^9, {3.910679067402808*^9, 3.910679071592757*^9},
3.910679992301804*^9, 3.9106808476417713`*^9, 3.910681870959687*^9, {
3.910681907434793*^9, 3.910681912017518*^9}, 3.9106823899132957`*^9, {
3.9107760225857153`*^9, 3.910776052541863*^9}, {3.91077837026775*^9,
3.910778373242908*^9}, 3.9107786290831633`*^9, {3.910779323159783*^9,
3.910779332161601*^9}, {3.9525915383113337`*^9, 3.9525915792175493`*^9}, {
3.952591745514917*^9, 3.952591755170249*^9}, {3.9526717531306*^9,
3.952671753872437*^9}, {3.9526718925161247`*^9, 3.952671903327499*^9}, {
3.953100558530896*^9, 3.9531005586407824`*^9}, {3.953100904974821*^9,
3.953100942078285*^9}, {3.95310187580435*^9, 3.953101890218906*^9}, {
3.953102070579092*^9, 3.953102070679707*^9}, {3.953102493752165*^9,
3.953102513536509*^9}, 3.9531100211602163`*^9, {3.953110062916946*^9,
3.953110068979013*^9}, {3.953111822987533*^9, 3.9531118254189568`*^9}, {
3.96459307994695*^9, 3.964593080078637*^9}, {3.964596041202417*^9,
3.964596067026046*^9}, {3.964596713497756*^9, 3.964596740075788*^9},
3.964596816313836*^9, {3.96459687723536*^9, 3.964596877364421*^9}, {
3.9645969648678217`*^9, 3.9645969748222857`*^9}, {3.96459704229939*^9,
3.96459704480723*^9}, {3.964597234185773*^9, 3.964597234436554*^9},
3.9645973013002443`*^9, {3.964597415685649*^9, 3.96459743937915*^9},
3.964597496788204*^9, {3.9645975659454937`*^9, 3.964597573856845*^9},
3.964597632582223*^9, 3.964677633531333*^9, {3.9646861151822977`*^9,
3.964686115479025*^9}, 3.964697656961316*^9, 3.964754836991816*^9,
3.964754945330915*^9, 3.9647554026238213`*^9, {3.9647561496427317`*^9,
3.964756149907599*^9}, {3.964756763388699*^9, 3.964756763662092*^9}, {
3.964757185236074*^9, 3.964757220704018*^9}, 3.964757375095652*^9, {
3.964757576572164*^9, 3.9647576049230547`*^9}, 3.964757683337338*^9, {
3.964757777940608*^9, 3.964757787402184*^9}, 3.9647578935982533`*^9, {
3.964758020183313*^9, 3.964758037407113*^9}, 3.964758104633815*^9, {
3.964758190402514*^9, 3.9647582141186438`*^9}, 3.964758290209558*^9, {
3.964758387463513*^9, 3.9647583977810183`*^9}, 3.9647584506030617`*^9,
3.9647637382105913`*^9, 3.964763816501865*^9, 3.964763878783395*^9, {
3.9647641002257843`*^9, 3.9647641092184*^9}, 3.964764338798277*^9, {
3.9647644531690702`*^9, 3.964764465670826*^9}, 3.964764541938889*^9, {
3.964764712312418*^9, 3.964764727932873*^9}, 3.964764826804099*^9, {
3.9647648763498697`*^9, 3.964764889343781*^9}, 3.9647649680184526`*^9,
3.964765579103302*^9, {3.96476566057078*^9, 3.964765660692347*^9},
3.964765850962571*^9, 3.964766382700549*^9, {3.964766519246253*^9,
3.964766527387662*^9}, 3.964766705575325*^9, {3.964766870568572*^9,
3.964766875292016*^9}, 3.9647669512233047`*^9, {3.964767002821095*^9,
3.9647670102824717`*^9}, 3.96476711062613*^9, {3.964767164527718*^9,
3.964767171461968*^9}, 3.964767236366621*^9, {3.964767283247802*^9,
3.9647672884215384`*^9}, 3.964767345645625*^9, {3.9647674080457277`*^9,
3.964767414042596*^9}, 3.964767471100655*^9, {3.964767555380808*^9,
3.964767561510151*^9}, 3.9647676147920647`*^9, {3.964767663897152*^9,
3.96476766823671*^9}, 3.964767717736951*^9, {3.96484059666037*^9,
3.9648406130155277`*^9}, 3.964840726718678*^9, 3.964840874427588*^9, {
3.96484107003398*^9, 3.964841070722568*^9}, 3.964841473538389*^9, {
3.964841570822309*^9, 3.964841575144677*^9}, 3.96484162896278*^9, {
3.964841811479909*^9, 3.96484183010844*^9}, 3.964841877859535*^9, {
3.964841927157186*^9, 3.964841932536234*^9}, 3.9648419906500483`*^9, {
3.9648420716878357`*^9, 3.964842076730567*^9}, 3.964842126326222*^9, {
3.9648421808451357`*^9, 3.96484218566063*^9}, 3.9648422493061943`*^9,
3.964842392557494*^9, 3.9648424559242373`*^9, {3.964842530596744*^9,
3.964842537328889*^9}, 3.964842582380698*^9, {3.964842647011072*^9,
3.964842674029909*^9}, 3.964842719411083*^9, {3.964842792732041*^9,
3.964842796848929*^9}, {3.964842849693199*^9, 3.9648428527886143`*^9}, {
3.9648429031092997`*^9, 3.964842909248435*^9}, 3.964842954517398*^9, {
3.964843003210752*^9, 3.964843008723372*^9}, 3.964843059045149*^9, {
3.965114217519899*^9, 3.965114225825708*^9}, 3.965114384013075*^9,
3.9651144368725023`*^9},
CellLabel->
"In[850]:=",ExpressionUUID->"6f2b1e45-0f87-4d4b-8f6d-bfa3194972f9"]
}, Open ]],
Cell[CellGroupData[{
Cell["Geometry & Constants", "Section",
CellChangeTimes->{{3.495949670865237*^9, 3.495949680489683*^9},
3.495949741970516*^9, {3.504428883324175*^9, 3.504428905604997*^9},
3.5158359353003635`*^9},ExpressionUUID->"f42ea264-4edd-4292-a93f-\
13a8c48375fb"],
Cell[BoxData[
RowBox[{
RowBox[{"(*",
RowBox[{
RowBox[{
RowBox[{"Vb", "=",
RowBox[{"0.127", "*",
SuperscriptBox["10",
RowBox[{"-", "18"}]], " ",
RowBox[{"m", "^", "3"}]}]}], ";", " ",
RowBox[{
RowBox[{"Schikorski", " ", "&"}], " ", "Stevens"}]}], ",", " ", "PNAS",
",", " ",
RowBox[{"1999", ";", " ",
RowBox[{"olfactory", " ", "cortex"}], ";", " ",
RowBox[{
"corrected", " ", "for", " ", "space", " ", "occupied", " ", "by", " ",
"vesicles", " ", "and", " ", "organelles"}]}], ",", " ",
RowBox[{
RowBox[{"factor", " ", "0.635", " ",
RowBox[{"(",
RowBox[{
RowBox[{"Wilhelm", " ", "et", " ",
RowBox[{"al", "."}]}], ",", " ", "Science", ",", " ", "2014"}],
")"}]}], ":", " ",
RowBox[{"0.2", " ", "*", " ", "0.635"}]}]}], "*)"}],
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"DCa", " ", "=",
RowBox[{"220", " ", "*",
SuperscriptBox["10",
RowBox[{"-", "12"}]]}]}], ";"}], " ",
RowBox[{"(*",
RowBox[{"DiffCo", ";", " ",
RowBox[{"m2", "/", "s"}]}], "*)"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"NA", " ", "=", " ",
RowBox[{"6.022", "*",
RowBox[{"10", "^", "23"}]}]}], ";"}], " ",
RowBox[{"(*",
RowBox[{
RowBox[{"Teilchen", "/", "mol"}], ";", " ",
RowBox[{"Avogadros", " ", "Number"}]}], "*)"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"F", "=", "96485."}], ";"}], " ",
RowBox[{"(*",
RowBox[{
RowBox[{"C", "/", "mol"}], ";", " ", "Farraday"}], "*)"}],
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{"ClearAll", "[",
RowBox[{"Vs", ",", "As"}], "]"}], "\[IndentingNewLine]",
"\[IndentingNewLine]",
RowBox[{
RowBox[{"r", "=",
RowBox[{"0.4", "*",
SuperscriptBox["10",
RowBox[{"-", "6"}]]}]}], ";"}], " ", "\[IndentingNewLine]",
"\[IndentingNewLine]",
RowBox[{
RowBox[{"ds", " ", "=", " ",
RowBox[{"r", "/", "shells"}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"Vs", "[", "0", "]"}], "=", "0"}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"As", "[", "0", "]"}], "=", "0"}], ";"}], "\[IndentingNewLine]",
RowBox[{"For", "[",
RowBox[{
RowBox[{"i", "=", "1"}], ",",
RowBox[{"i", "\[LessEqual]", "shells"}], ",",
RowBox[{"i", "++"}], ",", " ",
RowBox[{
RowBox[{"Vs", "[", "i", "]"}], "=",
RowBox[{
RowBox[{
FractionBox["2", "3"], "*", "\[Pi]", "*",
SuperscriptBox[
RowBox[{"(",
RowBox[{"i", "*", "ds"}], ")"}], "3"]}], "-",
RowBox[{
FractionBox["2", "3"], "*", "\[Pi]", "*",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"(",
RowBox[{"i", "-", "1"}], ")"}], "*", "ds"}], ")"}], "3"]}]}]}]}],
" ",
RowBox[{"(*",
RowBox[{";",
RowBox[{"Print", "[",
RowBox[{"Vs", "[", "i", "]"}], "]"}]}], " ", "*)"}], " ", "]"}],
RowBox[{"(*",
RowBox[{
RowBox[{"hemi", "-", "spheres"}], ";", " ",
RowBox[{"in", " ", "m3"}]}], "*)"}], "\[IndentingNewLine]",
RowBox[{"For", "[",
RowBox[{
RowBox[{"i", "=", "1"}], ",",
RowBox[{"i", "\[LessEqual]", "shells"}], ",",
RowBox[{"i", "++"}], ",", " ",
RowBox[{
RowBox[{"As", "[", "i", "]"}], "=",
RowBox[{"2", "*", "\[Pi]", "*",
SuperscriptBox[
RowBox[{"(",
RowBox[{"i", "*", "ds"}], ")"}], "2"]}]}]}], " ", "]"}],
"\[IndentingNewLine]",
RowBox[{"(*",
RowBox[{
RowBox[{"hemi", "-", "spheres"}], ";", " ",
RowBox[{"in", " ",
RowBox[{"m", "^", "2"}]}]}], "*)"}], "\[IndentingNewLine]",
"\[IndentingNewLine]", "\[IndentingNewLine]",
RowBox[{
RowBox[{"VsTotal", " ", "=",
RowBox[{
FractionBox["2", "3"], "*", "\[Pi]", "*",
SuperscriptBox[
RowBox[{"(",
RowBox[{"shells", "*", "ds"}], ")"}], "3"]}]}], ";"}],
"\[IndentingNewLine]",
RowBox[{"(*",
RowBox[{
RowBox[{"Print", "[",
RowBox[{
RowBox[{"Test", " ", "V"}], ",", "\"\< = \>\"", ",", "VsTotal", ",",
" ", "\"\< = \>\"", ",",
RowBox[{
UnderoverscriptBox["\[Sum]",
RowBox[{"s", "=", "1"}], "shells"],
RowBox[{"(",
RowBox[{"Vs", "[", "s", "]"}], ")"}]}]}], "]"}],
"\[IndentingNewLine]",
RowBox[{"Print", "[",
RowBox[{
"\"\<spatial resolution = \>\"", ",", " ", "ds", ",", " ",
"\"\<m\>\""}], "]"}]}], "*)"}], "\[IndentingNewLine]"}]}]], "Input",
CellChangeTimes->{{3.494835081740033*^9, 3.4948351014112787`*^9}, {
3.494844216476834*^9, 3.494844222961059*^9}, {3.4949267703527794`*^9,
3.494926781070157*^9}, 3.494927248142479*^9, 3.4949273200620527`*^9,
3.4949274441205826`*^9, {3.494929502093658*^9, 3.494929514171551*^9},
3.4949299710690284`*^9, 3.494930071973341*^9, {3.494930200752118*^9,
3.4949302044864216`*^9}, {3.494930378451832*^9, 3.494930395639002*^9}, {
3.494930841779443*^9, 3.4949308639994726`*^9}, {3.494931719804388*^9,
3.4949317225699596`*^9}, 3.4949325278357487`*^9, {3.4951731017837744`*^9,
3.49517310575227*^9}, 3.4951738657757797`*^9, {3.4951746033354692`*^9,
3.4951746048510847`*^9}, 3.4951746828037105`*^9, 3.495174986300624*^9,
3.4951750515497885`*^9, {3.495179377828809*^9, 3.495179378891268*^9}, {
3.495180737615108*^9, 3.495180744631845*^9}, 3.495181297397674*^9, {
3.4951814137833376`*^9, 3.4951814164679136`*^9}, {3.4951817678995867`*^9,
3.495181815755896*^9}, {3.4951824092002945`*^9, 3.49518245750661*^9},
3.4951903674229646`*^9, {3.4951904104066086`*^9, 3.49519041581279*^9},
3.495191022398604*^9, 3.495192321408428*^9, 3.4951930326836753`*^9,
3.4951937705501966`*^9, 3.4951938508617735`*^9, 3.4958741253124037`*^9, {
3.495874297997992*^9, 3.4958742989040623`*^9}, {3.4958748430922956`*^9,
3.4958748563101997`*^9}, 3.4958748915891914`*^9, {3.495874924837064*^9,
3.495874942226576*^9}, 3.4958749805678716`*^9, {3.495875025877472*^9,
3.4958750570004797`*^9}, {3.49587515588511*^9, 3.495875156400708*^9}, {
3.4958752437868595`*^9, 3.4958752440680947`*^9}, {3.4958752790506783`*^9,
3.49587530167452*^9}, {3.4958753394225874`*^9, 3.4958753841234236`*^9}, {
3.4958754495577*^9, 3.4958755711303782`*^9}, {3.4958757302638736`*^9,
3.4958757318575525`*^9}, {3.4958757786835794`*^9, 3.495875825947087*^9}, {
3.4958758631641693`*^9, 3.49587586349228*^9}, {3.4958759070528283`*^9,
3.495875931614228*^9}, 3.4958760894040337`*^9, {3.495878984831496*^9,
3.495878987690798*^9}, {3.495879028127262*^9, 3.495879047939255*^9}, {
3.4958791560458627`*^9, 3.495879158967663*^9}, {3.495879229887722*^9,
3.4958792304033337`*^9}, {3.49587939291376*^9, 3.495879394132471*^9},
3.495879453318077*^9, {3.4958794868951273`*^9, 3.49587949245745*^9},
3.495879533049885*^9, 3.4958795747982817`*^9, 3.4958797208395486`*^9,
3.495879889004966*^9, 3.495881806900066*^9, {3.495882226883938*^9,
3.4958822276964064`*^9}, 3.4958822703041453`*^9, 3.4958824811637363`*^9, {
3.4958825394966574`*^9, 3.495882544776927*^9}, 3.4958826182320414`*^9,
3.49588265578757*^9, 3.4958836433229218`*^9, {3.495883678212207*^9,
3.4958836999457474`*^9}, {3.495886215349152*^9, 3.495886218817769*^9}, {
3.495886392389229*^9, 3.4958864221537104`*^9}, 3.495887080692048*^9, {
3.495948568469941*^9, 3.495948595484183*^9}, {3.495948957046702*^9,
3.495949010637206*^9}, 3.495949059338807*^9, 3.4959492712024126`*^9, {
3.4959493054478097`*^9, 3.495949322101821*^9}, 3.495949368923652*^9,
3.495949406949791*^9, {3.495949444725963*^9, 3.4959494466944485`*^9}, {
3.495949543075723*^9, 3.4959495737770796`*^9}, {3.4959496080563555`*^9,
3.4959496156496677`*^9}, 3.495950226164705*^9, 3.49595088927365*^9,
3.495950946269052*^9, 3.4959510142967653`*^9, {3.495951048630844*^9,
3.4959510914156675`*^9}, {3.49595115241411*^9, 3.495951154007412*^9},
3.4959512024312716`*^9, {3.4959512412186685`*^9, 3.4959512426716075`*^9},
3.495955058475418*^9, 3.495955168600418*^9, 3.49595534067839*^9, {
3.4959553966773148`*^9, 3.495955454019964*^9}, 3.495955544690098*^9,
3.4959556259697876`*^9, 3.4959556824687023`*^9, 3.4959559574788885`*^9,
3.495957918752699*^9, 3.4959580262811966`*^9, 3.495958098482473*^9,
3.4959581507936335`*^9, 3.4959582623845267`*^9, 3.495958411505709*^9,
3.495958616469212*^9, {3.4959732060984154`*^9, 3.4959732170669546`*^9}, {
3.495973603445549*^9, 3.4959736038673973`*^9}, 3.4959736670508533`*^9,
3.4960356644578457`*^9, {3.4960358010498476`*^9, 3.4960358308932157`*^9}, {
3.4960362513391314`*^9, 3.496036284728902*^9}, {3.496036317103073*^9,
3.4960363308683453`*^9}, 3.496036367883215*^9, {3.496036474444351*^9,
3.496036477569311*^9}, {3.4960365637713327`*^9, 3.496036638254754*^9},
3.4960366789419003`*^9, {3.496036739472763*^9, 3.496036836097144*^9}, {
3.496036871471918*^9, 3.4960368991904907`*^9}, {3.4960370215803328`*^9,
3.496037047767665*^9}, 3.496037971986637*^9, 3.4960380362986135`*^9,
3.4960381452769003`*^9, {3.496038247560027*^9, 3.4960382478724847`*^9},
3.49603834142241*^9, 3.4969931168149476`*^9, {3.4969932229678006`*^9,
3.4969932276082773`*^9}, 3.496993332354946*^9, {3.496994277049511*^9,
3.496994332594964*^9}, 3.4969943851561184`*^9, 3.496994449435723*^9,
3.496994518998841*^9, 3.496994552469304*^9, {3.4969946068939657`*^9,
3.4969947520420218`*^9}, {3.496994831168852*^9, 3.496994869668852*^9}, {
3.496994901293852*^9, 3.496994925575102*^9}, {3.496994988512602*^9,
3.496995041871977*^9}, {3.4972592780311537`*^9, 3.497259278156152*^9},
3.497259560166362*^9, 3.4972600244230733`*^9, 3.497260091140542*^9, {
3.4972634028960094`*^9, 3.497263422036267*^9}, 3.497263545096404*^9,
3.4972636087670565`*^9, 3.4972636696408873`*^9, 3.4972639347451725`*^9,
3.49726514369071*^9, 3.4972678474241524`*^9, 3.497267913297888*^9,
3.497267958500145*^9, 3.4972680079366956`*^9, 3.497268041982917*^9,
3.4972681255281878`*^9, {3.4972681683867397`*^9, 3.497268216807685*^9}, {
3.4972682653692527`*^9, 3.4972683022591696`*^9}, {3.4972685347078314`*^9,
3.497268564144766*^9}, 3.497268625831082*^9, 3.497268689642357*^9,
3.497346081660688*^9, 3.4982165363083677`*^9, {3.50028480223775*^9,
3.500284810518788*^9}, {3.50028499676402*^9, 3.5002850062794013`*^9}, {
3.5002851139016457`*^9, 3.5002851348542347`*^9}, {3.50028529186584*^9,
3.5002853519580517`*^9}, {3.50028541893395*^9, 3.500285444177971*^9}, {
3.5002854756080265`*^9, 3.5002855414205637`*^9}, {3.500285581442334*^9,
3.5002855953140483`*^9}, {3.5002856322115593`*^9, 3.500285635820079*^9}, {
3.500285690213876*^9, 3.500285753269515*^9}, {3.5002858127630415`*^9,
3.5002858317297273`*^9}, {3.5002858636637526`*^9, 3.500285887973607*^9}, {
3.500285931437628*^9, 3.5002859647152567`*^9}, {3.500286082722952*^9,
3.5002861157679234`*^9}, 3.5002861515158644`*^9, {3.5002861934821973`*^9,
3.50028622138684*^9}, {3.500286310382015*^9, 3.5002863105695066`*^9}, {
3.5002863643639717`*^9, 3.500286368113804*^9}, {3.5002863996592655`*^9,
3.5002864295954237`*^9}, {3.500286499686034*^9, 3.5002865119511094`*^9}, {
3.500286581198007*^9, 3.5002866156343336`*^9}, {3.5002866695388584`*^9,
3.5002868955785*^9}, {3.500286927577476*^9, 3.500286990356717*^9}, {
3.500288354343789*^9, 3.5002883791086216`*^9}, {3.5002885128230925`*^9,
3.5002885336349263`*^9}, {3.500288580024067*^9, 3.500288593023651*^9}, {
3.5002886784427924`*^9, 3.500288682520787*^9}, 3.500288736894047*^9, {
3.5002888995607166`*^9, 3.5002889090916615`*^9}, {3.500289731638944*^9,
3.5002897660143843`*^9}, {3.5002899675122595`*^9,
3.5002900395582123`*^9}, {3.500290216726117*^9, 3.5002902495377774`*^9}, {
3.500290290927343*^9, 3.50029030783316*^9}, {3.5002903449572096`*^9,
3.500290352644513*^9}, {3.5002904035962067`*^9, 3.5002904092835245`*^9}, {
3.500290454000843*^9, 3.500290503764876*^9}, {3.5002905416230392`*^9,
3.5002905417792845`*^9}, {3.500290670447042*^9, 3.500290722632872*^9}, {
3.5002910598877044`*^9, 3.500291110854823*^9}, {3.5002911877898617`*^9,
3.500291195430242*^9}, 3.5003761631820335`*^9, 3.5007033629375*^9, {
3.5007034275625*^9, 3.5007034335*^9}, 3.5007035965*^9,
3.500703639921875*^9, {3.500704095296875*^9, 3.500704095828125*^9},
3.5007049981875*^9, 3.5007050416875*^9, {3.500709636828125*^9,
3.50070963959375*^9}, 3.5018465261620727`*^9, 3.501846568206257*^9, {
3.501846713432058*^9, 3.5018467679292674`*^9}, 3.5018469354363155`*^9,
3.501847030900178*^9, {3.5018470773977966`*^9, 3.5018470776634083`*^9}, {
3.5019246377252955`*^9, 3.5019246672559786`*^9}, 3.5019249411816807`*^9,
3.5019250289516945`*^9, {3.501925096411809*^9, 3.501925101426792*^9},
3.501925142015346*^9, 3.501925481366135*^9, 3.5019258580396633`*^9,
3.5019261011882615`*^9, {3.5019261988107624`*^9, 3.501926205310596*^9},
3.5019262606060553`*^9, 3.5019263694313946`*^9, 3.50192644067957*^9,
3.5019267594057856`*^9, 3.5019267920924487`*^9, {3.501926897949114*^9,
3.5019270546678686`*^9}, {3.501927089152465*^9, 3.5019271032150545`*^9},
3.5019272145751424`*^9, {3.5019331971461315`*^9, 3.50193320724014*^9}, {
3.501933510118901*^9, 3.5019335271969166`*^9}, 3.5019337298044257`*^9,
3.501933800084326*^9, {3.501933836614875*^9, 3.5019338367398725`*^9}, {
3.501933941925353*^9, 3.50193394205035*^9}, {3.501934110187747*^9,
3.501934114515789*^9}, 3.5019341978110647`*^9, 3.5019345741769896`*^9,
3.5019354601952176`*^9, {3.5019356938060875`*^9, 3.5019356939467134`*^9},
3.501935730728199*^9, 3.5019358522426395`*^9, {3.501936610928873*^9,
3.501936659677625*^9}, {3.501936921280303*^9, 3.5019369222334037`*^9},
3.5020128764720583`*^9, 3.5033226162054214`*^9, 3.5033231337636714`*^9,
3.503323210963832*^9, 3.5033233968785677`*^9, 3.5033234435486503`*^9, {
3.5033236305883427`*^9, 3.5033236812895203`*^9}, {3.503397351368002*^9,
3.5033973700083885`*^9}, 3.5033975279751163`*^9, 3.5033978897517357`*^9, {
3.503398400213951*^9, 3.5033984004639482`*^9}, {3.503400719106144*^9,
3.503400739996502*^9}, 3.5034009129005384`*^9, 3.5034010075087023`*^9,
3.503401233958929*^9, 3.503405786315443*^9, {3.5034060557223*^9,
3.5034060849557395`*^9}, 3.5036513470033803`*^9, {3.5036566398404713`*^9,
3.5036566664022913`*^9}, {3.503656757774952*^9, 3.5036567797743893`*^9},
3.503656814429752*^9, 3.5036616177358103`*^9, 3.5036619428837357`*^9, {
3.5036620427093053`*^9, 3.503662066318076*^9}, 3.503662378997571*^9,
3.5036627378585253`*^9, 3.5036639755822268`*^9, {3.503664027440274*^9,
3.5036640275652704`*^9}, 3.503720849359375*^9, {3.50372092140625*^9,
3.503720969171875*^9}, {3.5043386061631308`*^9, 3.5043386147724504`*^9}, {
3.5043386729127035`*^9, 3.50433867810017*^9}, 3.5043397837133355`*^9, {
3.5043402191057854`*^9, 3.5043402588081484`*^9}, {3.504340333556713*^9,
3.5043403618217955`*^9}, {3.504343125751182*^9, 3.504343125891814*^9},
3.5043431870511956`*^9, {3.5043432344129953`*^9, 3.5043432346630077`*^9}, {
3.504343322808146*^9, 3.5043433691855125`*^9}, 3.504343750090206*^9, {
3.5043437849957857`*^9, 3.5043438015579677`*^9}, {3.5043456256217175`*^9,
3.5043456293247476`*^9}, {3.50434887129631*^9, 3.5043489181229362`*^9}, {
3.504348954262405*^9, 3.5043490149948363`*^9}, {3.50434905768097*^9,
3.5043490722742534`*^9}, {3.504349224066553*^9, 3.5043492242228127`*^9},
3.504349264037861*^9, {3.5043494410491886`*^9, 3.504349441158571*^9}, {
3.504349482129943*^9, 3.504349489474163*^9}, {3.5043495283981113`*^9,
3.504349529335617*^9}, {3.504349564523342*^9, 3.5043495753671618`*^9}, {
3.50434992505424*^9, 3.5043499251792374`*^9}, {3.504351363387642*^9,
3.5043513739498043`*^9}, 3.504351410495509*^9, {3.504351467774926*^9,
3.50435146907176*^9}, {3.5043520114137793`*^9, 3.5043520116325226`*^9}, {
3.5043534995380692`*^9, 3.504353520056845*^9}, 3.5043536478244214`*^9, {
3.50435378168808*^9, 3.5043538076107845`*^9}, 3.504353976301943*^9, {
3.5044259064843636`*^9, 3.5044259312809215`*^9}, 3.504426004654982*^9, {
3.5044262896397963`*^9, 3.504426292077671*^9}, {3.5044263640262203`*^9,
3.504426369120753*^9}, 3.5044264008108625`*^9, 3.5044264626269226`*^9, {
3.5044265630389566`*^9, 3.5044265678204813`*^9}, 3.504426606416455*^9,
3.5044266450436797`*^9, {3.5044268247983694`*^9, 3.5044268296265874`*^9}, {
3.5044287268740926`*^9, 3.504428736186375*^9}, {3.504428837293809*^9,
3.504428878496143*^9}, {3.504429452763601*^9, 3.5044294688889327`*^9}, {
3.504429534342058*^9, 3.5044295561701827`*^9}, {3.505562446437459*^9,
3.505562474141471*^9}, 3.5154105112067385`*^9, {3.5154105418764544`*^9,
3.5154106247778683`*^9}, {3.561379024155612*^9, 3.5613790243587294`*^9}, {
3.5877099690108128`*^9, 3.587709969151431*^9}, {3.587727621516125*^9,
3.58772763875039*^9}, {3.5913370771507797`*^9, 3.5913371027759438`*^9}, {
3.675489725935801*^9, 3.67548973637049*^9}, {3.6754921209950542`*^9,
3.675492133586939*^9}, {3.675494578645776*^9, 3.6754945829268217`*^9}, {
3.675494615758939*^9, 3.6754946586313963`*^9}, {3.675494964274123*^9,
3.6754949655648823`*^9}, {3.675499640753202*^9, 3.67549964165549*^9}, {
3.675499885738304*^9, 3.675499920856311*^9}, {3.675500334696144*^9,
3.675500334823661*^9}, {3.675500952007399*^9, 3.6755009526951017`*^9},
3.675502767838903*^9, {3.675503462866311*^9, 3.675503539168892*^9}, {
3.698570401915935*^9, 3.6985704345643187`*^9}, {3.698570515595158*^9,
3.698570589014161*^9}, 3.6985737727314157`*^9, {3.7028897911081038`*^9,
3.702889875951545*^9}, 3.703221684285775*^9},
CellLabel->
"In[886]:=",ExpressionUUID->"09925699-d973-4980-9c22-03489c03f6d1"]
}, Closed]],
Cell[CellGroupData[{
Cell["Influx", "Section",
CellChangeTimes->{{3.6272137099153214`*^9,
3.6272137264234533`*^9}},ExpressionUUID->"d09ecf7e-ecc2-457a-aad6-\
3650dd579488"],
Cell[CellGroupData[{
Cell["Action potential and Ca channels ", "Subsection",
CellChangeTimes->{{3.627107179702334*^9, 3.627107206795763*^9}, {
3.627108007654943*^9, 3.6271080682693853`*^9}, {3.627109931069808*^9,
3.62710995880031*^9}, {3.6271105383540297`*^9,
3.6271105434815207`*^9}},ExpressionUUID->"b02a48c8-32aa-444a-b5bb-\
a62be1121556"],
Cell[CellGroupData[{
Cell[" APs: Unitstep with Double Exp Function", "Subsubsection",
CellChangeTimes->{{3.675499334874928*^9, 3.675499350971189*^9}, {
3.7250103506493683`*^9, 3.725010359216488*^9}, {3.725082368059599*^9,
3.725082372985482*^9}, {3.725085792731152*^9, 3.7250857981533422`*^9}, {
3.725085961096406*^9, 3.725085966159281*^9}, {3.7250867007115297`*^9,
3.72508673802295*^9},
3.72509771659793*^9},ExpressionUUID->"5c8ef88d-061e-4d28-b8dc-\
044f5742af02"],
Cell[CellGroupData[{
Cell[BoxData[{
RowBox[{"Clear", "[",
RowBox[{"Vm", ",", "startT", ",", "taud", ",", "taur"}],
"]"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"startT", "=",
RowBox[{"0.1", "*",
SuperscriptBox["10",
RowBox[{"-", "3"}]]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"taur", "=",
RowBox[{"0.1", "*",
SuperscriptBox["10",
RowBox[{"-", "3"}]]}]}], ";"}],
"\[IndentingNewLine]"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"If", "[",
RowBox[{
RowBox[{"longAP", "\[Equal]", "1"}], ",", "\[IndentingNewLine]",
RowBox[{"taud", "=",
RowBox[{"0.4", "*",
SuperscriptBox["10",
RowBox[{"-", "3"}]]}]}], ",", "\[IndentingNewLine]",
RowBox[{"taud", "=",
RowBox[{"0.2", "*",
SuperscriptBox["10",
RowBox[{"-", "3"}]]}]}]}], "]"}], ";"}], "\[IndentingNewLine]",
"\[IndentingNewLine]"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"Vm", "=",
RowBox[{"Sum", "[",
RowBox[{
RowBox[{"(",
RowBox[{
RowBox[{"UnitStep", "[",
RowBox[{"t", "-", "i"}], "]"}], "*",
RowBox[{"(",
RowBox[{
RowBox[{"Exp", "[",
RowBox[{
RowBox[{"-",
RowBox[{"(",
RowBox[{"t", "-", "i"}], ")"}]}], "/", "taud"}], "]"}], "-",
RowBox[{"Exp", "[",
RowBox[{
RowBox[{"-",
RowBox[{"(",
RowBox[{"t", "-", "i"}], ")"}]}], "/", "taur"}], "]"}]}],
")"}]}], ")"}], ",",
RowBox[{"{",
RowBox[{"i", ",", "startT", ",",
RowBox[{"startT", "+",
RowBox[{
RowBox[{"(",
RowBox[{"APN", "-", "1"}], ")"}], "*", "ISI"}]}], ",", "ISI"}],
"}"}]}], "]"}]}], ";"}],
"\[IndentingNewLine]"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"If", "[",
RowBox[{
RowBox[{"longAP", "\[Equal]", "1"}], ",", "\[IndentingNewLine]",
RowBox[{"Vm", "=",
RowBox[{
RowBox[{"0.25", "*", "Vm"}], "-", "0.08"}]}], ",",
"\[IndentingNewLine]",
RowBox[{"Vm", "=",
RowBox[{
RowBox[{"0.47", "*", "Vm"}], "-", "0.08"}]}]}], "]"}], ";"}],
"\[IndentingNewLine]", "\[IndentingNewLine]"}], "\[IndentingNewLine]",
RowBox[{"plAP", "=",
RowBox[{"Plot", "[",
RowBox[{"Vm", ",",
RowBox[{"{",
RowBox[{"t", ",", "0", ",", "TimeWindow"}], "}"}], ",",
RowBox[{"PlotRange", "\[Rule]", "All"}], ",",
RowBox[{"PlotStyle", "\[Rule]", "Black"}]}], "]"}]}]}], "Input",
CellChangeTimes->{{3.725085969018165*^9, 3.725086178175091*^9}, {
3.725086246585688*^9, 3.7250862616006327`*^9}, {3.725086328187961*^9,
3.725086352308373*^9}, {3.725086404326089*^9, 3.725086460086632*^9}, {
3.725086521852129*^9, 3.725086528663212*^9}, {3.725086559313939*^9,
3.725086560929379*^9}, {3.725086935543126*^9, 3.725087053472954*^9}, {
3.725087102557105*^9, 3.7250871327276382`*^9}, {3.725087174163055*^9,
3.725087183456931*^9}, {3.725087223101802*^9, 3.725087224947897*^9}, {
3.725087282710144*^9, 3.725087379959834*^9}, {3.725087636637933*^9,
3.725087648792618*^9}, {3.725087695467998*^9, 3.725087703562172*^9}, {
3.725087742204309*^9, 3.725087769475608*^9}, {3.725087985476907*^9,
3.72508805663124*^9}, {3.725088099894341*^9, 3.725088262606241*^9}, {
3.7250883258306704`*^9, 3.725088361135489*^9}, {3.72508840455448*^9,
3.725088420218648*^9}, {3.725088469348669*^9, 3.725088573445018*^9}, {
3.725090603048744*^9, 3.725090603286282*^9}, {3.7250906667209053`*^9,
3.7250906723388433`*^9}, {3.7250907049312963`*^9, 3.725090717123424*^9}, {
3.725090751045252*^9, 3.725090809302484*^9}, {3.725090857318335*^9,
3.7250908812389717`*^9}, {3.7250973021061897`*^9, 3.725097362193241*^9},
3.72509742467867*^9, {3.7250974803487663`*^9, 3.725097488677577*^9}, {
3.725097722622958*^9, 3.7250977433973618`*^9}, {3.725098657021831*^9,
3.72509870958138*^9}, {3.7640455640675373`*^9, 3.764045719159388*^9}, {
3.764045766280863*^9, 3.764045834481028*^9}, {3.898155505735876*^9,
3.898155553836203*^9}, {3.898239840414551*^9, 3.8982398413911123`*^9},
3.9531006410008917`*^9},
CellLabel->
"In[897]:=",ExpressionUUID->"6e611db9-a46c-4945-8768-4f70e515f358"],
Cell[BoxData[
GraphicsBox[
InterpretationBox[{
TagBox[{{{}, {},
TagBox[
{GrayLevel[0], AbsoluteThickness[2], Opacity[1.],
LineBox[{{4.0816326530612245`*^-11, -0.08}, {
0.00001962868160969366, -0.08}, {0.00003925732240306079, -0.08}, {
0.00008181671417091729, -0.08}, {0.00009936224489795917, -0.08}}],
LineBox[CompressedData["
1:eJwV1nc81d8bAHApI6OsMkJW9riuVSoPiuzMa16uPVKyviqSrSQhsxD3Vsrm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"]]},
Annotation[#, "Charting`Private`Tag#1"]& ], {}}, {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
AbsoluteThickness[2],
GrayLevel[0]],
Line[{{4.0816326530612245`*^-11, -0.08}, {
0.00001962868160969366, -0.08}, {
0.00003925732240306079, -0.08}, {
0.00008181671417091729, -0.08}, {
0.00009936224489795917, -0.08}}],
Line[CompressedData["
1:eJwV1nc81d8bAHApI6OsMkJW9riuVSoPiuzMa16uPVKyviqSrSQhsxD3Vsrm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"]]}, "Charting`Private`Tag#1"], {}}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>, "PlotRange" -> {All, All},
"Frame" -> {{False, False}, {False, False}},
"AxesOrigin" -> {0, 0}, "ImageSize" -> {360, 360/GoldenRatio},
"Axes" -> {True, True}, "LabelStyle" -> {}, "AspectRatio" ->
GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
AbsoluteThickness[2],
GrayLevel[0]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" ->
False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>]]& )[<|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>, "PlotRange" -> {All, All},
"Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1),
"DefaultStyle" -> {
Directive[
Opacity[1.],
AbsoluteThickness[2],
GrayLevel[0]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {
Identity, Identity}}|>, "Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>],
ImageSizeCache->{{4.503599627370496*^15, -4.503599627370496*^15}, {
4.503599627370496*^15, -4.503599627370496*^15}}],
Selectable->False]},
Annotation[{{{{}, {},
Annotation[{
Directive[
Opacity[1.],
AbsoluteThickness[2],
GrayLevel[0]],
Line[{{4.0816326530612245`*^-11, -0.08}, {
0.00001962868160969366, -0.08}, {0.00003925732240306079, -0.08}, {
0.00008181671417091729, -0.08}, {0.00009936224489795917, -0.08}}],
Line[CompressedData["
1:eJwV1nc81d8bAHApI6OsMkJW9riuVSoPiuzMa16uPVKyviqSrSQhsxD3Vsrm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"]]}, "Charting`Private`Tag#1"], {}}}, {}}, <|
"HighlightElements" -> <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>,
"LayoutOptions" -> <|
"PanelPlotLayout" -> <||>, "PlotRange" -> {All, All},
"Frame" -> {{False, False}, {False, False}}, "AxesOrigin" -> {0, 0},
"ImageSize" -> {360, 360/GoldenRatio}, "Axes" -> {True, True},
"LabelStyle" -> {}, "AspectRatio" -> GoldenRatio^(-1), "DefaultStyle" -> {
Directive[
Opacity[1.],
AbsoluteThickness[2],
GrayLevel[0]]},
"HighlightLabelingFunctions" -> <|"CoordinatesToolOptions" -> ({
Identity[
Part[#, 1]],
Identity[
Part[#, 2]]}& ),
"ScalingFunctions" -> {{Identity, Identity}, {Identity, Identity}}|>,
"Primitives" -> {}, "GCFlag" -> False|>,
"Meta" -> <|
"DefaultHighlight" -> {"Dynamic", None}, "Index" -> {}, "Function" ->
Plot, "GroupHighlight" -> False|>|>, "DynamicHighlight"]],
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->{True, True},
AxesLabel->{None, None},
AxesOrigin->{0, 0},
DisplayFunction->Identity,
Frame->{{False, False}, {False, False}},
FrameLabel->{{None, None}, {None, None}},
FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
GridLines->{None, None},
GridLinesStyle->Directive[
GrayLevel[0.5, 0.4]],
ImagePadding->All,
Method->{
"DefaultBoundaryStyle" -> Automatic,
"DefaultGraphicsInteraction" -> {
"Version" -> 1.2, "TrackMousePosition" -> {True, False},
"Effects" -> {
"Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2},
"Droplines" -> {
"freeformCursorMode" -> True,
"placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" ->
AbsolutePointSize[6], "ScalingFunctions" -> None,
"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
(Identity[#]& )[
Part[#, 1]],
(Identity[#]& )[
Part[#, 2]]}& )}},
PlotRange->{All, All},
PlotRangeClipping->True,
PlotRangePadding->{{
Scaled[0.02],
Scaled[0.02]}, {
Scaled[0.05],
Scaled[0.05]}},
Ticks->{Automatic, Automatic}]], "Output",
CellChangeTimes->{
3.72509869192375*^9, 3.725098724716448*^9, 3.725098915885847*^9,
3.725099006471732*^9, 3.7251015466645203`*^9, 3.725101700060226*^9,
3.725102136776976*^9, 3.725102333643303*^9, 3.725102441331859*^9,
3.725102534980842*^9, 3.725102793515799*^9, 3.7251030802269573`*^9,
3.725103130229672*^9, 3.725103210405264*^9, 3.7251034262958403`*^9,
3.7251035349232483`*^9, 3.725103766142261*^9, 3.7251067552296333`*^9,
3.725106843896345*^9, 3.725182055997336*^9, 3.725182351569524*^9,
3.725182736133419*^9, 3.725183269915072*^9, 3.725183989279283*^9,
3.725184246867021*^9, 3.725185312729287*^9, 3.726376055462235*^9,
3.726377525161928*^9, 3.726377749589284*^9, 3.7263781091983023`*^9,
3.726378199033798*^9, 3.726378700225052*^9, 3.726378800721114*^9,
3.7263788776263447`*^9, 3.7263789621436577`*^9, 3.726384959088189*^9,
3.726385084594654*^9, 3.727167614718251*^9, 3.72716775351756*^9,
3.7271678926226997`*^9, 3.72716802899638*^9, 3.728036121319325*^9,
3.7323564273301783`*^9, 3.732356549788209*^9, 3.732356617884738*^9,
3.7323568353832903`*^9, 3.732356884213459*^9, 3.732356986229965*^9,
3.7415030823729963`*^9, 3.741503232732788*^9, 3.741516639827572*^9,
3.741517542216391*^9, 3.741518079349146*^9, 3.7415182209112453`*^9,
3.741518348653427*^9, 3.741518420644607*^9, 3.7415191734980087`*^9,
3.741519374468824*^9, 3.7415199382135057`*^9, 3.741520764408284*^9,
3.741520961681448*^9, 3.741521152906827*^9, 3.741521257757992*^9,
3.741521378817277*^9, 3.7415217042667847`*^9, 3.74152180756444*^9,
3.741522601108891*^9, 3.74152377805042*^9, 3.7415238692970247`*^9,
3.7415842855633802`*^9, 3.741585352023713*^9, 3.741585541069377*^9,
3.741585789451593*^9, 3.741587046822425*^9, 3.7415878655460253`*^9,
3.741588122460842*^9, 3.741588226963361*^9, 3.741589562495514*^9,
3.741593837839081*^9, 3.741594066622796*^9, 3.741594191063031*^9,
3.7415943588964643`*^9, 3.74159462845675*^9, 3.741594814755982*^9,
3.74159503372542*^9, 3.741595172180903*^9, 3.741599893255969*^9,
3.741600176926538*^9, 3.7416007365080357`*^9, 3.7416008965422897`*^9,
3.741601158528796*^9, 3.7416013052153673`*^9, 3.7416015847518044`*^9,
3.741601722026414*^9, 3.741603008866235*^9, 3.7416031587917633`*^9,
3.7416033630603867`*^9, 3.741924057282692*^9, 3.741924231068684*^9,
3.74192482183086*^9, 3.74192541071117*^9, 3.7419257889107237`*^9,
3.7419259222132196`*^9, 3.741926108019433*^9, 3.741927440884994*^9,
3.741927705026813*^9, 3.741927864973607*^9, 3.741928124256274*^9,
3.742193615694613*^9, 3.7421937040170527`*^9, 3.742193831132084*^9,
3.7421966997160273`*^9, 3.742560339262439*^9, 3.742560760477295*^9,
3.742561110107811*^9, 3.742561519832634*^9, 3.742561690035584*^9,
3.742561860643478*^9, 3.742562042896419*^9, 3.742562156490202*^9,
3.742562311033823*^9, 3.742562406530738*^9, 3.742562546468272*^9,
3.7426419884241457`*^9, 3.74264213663618*^9, 3.742715120555255*^9,
3.7427153913826647`*^9, 3.7427156373404713`*^9, {3.7427270972631598`*^9,
3.742727125139409*^9}, 3.742727499890164*^9, 3.742727945026628*^9,
3.742793379606306*^9, 3.742793489236515*^9, 3.742794415178358*^9,
3.742794809457486*^9, 3.742795970681333*^9, 3.742796106125998*^9,
3.742796667572835*^9, 3.742796898759753*^9, 3.742797111313734*^9,
3.7427978433619013`*^9, 3.742797973496874*^9, 3.742798028816074*^9,
3.7427982201707773`*^9, 3.7428036915487013`*^9, 3.74280396169788*^9,
3.742804105212146*^9, 3.7428064319366503`*^9, 3.742806575450341*^9,
3.742806700815343*^9, 3.742806840761216*^9, 3.7428070193831177`*^9,
3.742807472089176*^9, 3.742807627079453*^9, 3.742807742250708*^9,
3.742808667787818*^9, 3.742808744095072*^9, 3.74280890396728*^9,
3.7428094727756147`*^9, 3.742809782587063*^9, 3.742810161879217*^9,
3.7428104467204533`*^9, 3.742810686920578*^9, 3.7428139998722973`*^9,
3.742814463333048*^9, 3.7428147197975683`*^9, 3.742815381098022*^9,
3.742815872062748*^9, 3.745042914858788*^9, 3.745043467306575*^9,
3.745063768045085*^9, 3.745064035243338*^9, 3.745120497809265*^9,
3.745121432845707*^9, 3.7451216675647306`*^9, 3.745122071178762*^9,
3.745123116977932*^9, 3.745124488498959*^9, 3.745125119299017*^9,
3.745125658265325*^9, 3.7451258894647417`*^9, 3.745134879264839*^9,
3.74513502387236*^9, 3.7451351741574097`*^9, 3.74513528419915*^9,
3.745135368333715*^9, 3.74513551967459*^9, 3.745135737810034*^9,
3.745135903054386*^9, 3.745136087221856*^9, 3.745136369347007*^9,
3.745136541432219*^9, 3.745137344128159*^9, 3.745137614196871*^9,
3.745138242058177*^9, 3.745138665562892*^9, 3.745138788756357*^9,
3.7451389287176533`*^9, 3.7451391972532578`*^9, 3.745139692623419*^9,
3.7451398960431833`*^9, 3.745139973109605*^9, 3.745140150601247*^9,
3.745140320174933*^9, 3.745140458266821*^9, 3.7451417707463512`*^9,
3.745141940240082*^9, 3.745142247032234*^9, 3.745142658469015*^9,
3.745142803336617*^9, 3.745143006131651*^9, 3.7451431447144537`*^9,
3.745143467168914*^9, 3.745143549099334*^9, 3.745143735406817*^9,
3.745143973935232*^9, 3.7451440325959263`*^9, 3.745145039419159*^9,
3.7451451743436832`*^9, 3.7451454581335783`*^9, 3.745145702949923*^9,
3.745145985536693*^9, 3.745146089421583*^9, 3.745146351749844*^9,
3.74514727287648*^9, 3.745147393777053*^9, 3.7451475126654177`*^9,
3.74514774982123*^9, 3.745147976272994*^9, 3.745148077368548*^9,
3.745148169542453*^9, 3.745148325856539*^9, 3.7451573885073767`*^9,
3.745216270913756*^9, 3.745231866940178*^9, 3.745232176095401*^9,
3.745232604743313*^9, 3.7452330714457827`*^9, 3.745234704593768*^9,
3.7483232135733137`*^9, 3.748323406776429*^9, 3.748323739241138*^9,
3.748323918406761*^9, 3.751179461459572*^9, 3.7511795415811663`*^9,
3.751180813650037*^9, 3.751180892323306*^9, 3.7511809777436123`*^9,
3.7511815666630907`*^9, 3.751181691998686*^9, 3.751282323858891*^9,
3.751282510579267*^9, 3.75128409914765*^9, 3.764045296801255*^9, {
3.764045700519511*^9, 3.764045770790495*^9}, 3.7640458135787697`*^9,
3.764046304941079*^9, 3.7643172575154543`*^9, 3.764317399196216*^9,
3.764317467061714*^9, 3.764317544445746*^9, 3.7643235571683197`*^9,
3.7643238391328497`*^9, 3.764323981798533*^9, 3.764324731720777*^9,
3.764324914116514*^9, 3.7643250789057617`*^9, 3.7643256949562073`*^9,
3.76432599392522*^9, 3.76509529595553*^9, 3.7650954597025003`*^9,
3.765095682846816*^9, 3.765620293641348*^9, 3.765620384366665*^9,
3.76562049986136*^9, 3.765621041685547*^9, 3.765621224537763*^9,
3.765778927965721*^9, 3.765779345365512*^9, 3.765779406693141*^9,
3.7657795184055653`*^9, 3.765779920583684*^9, 3.76578416552221*^9,
3.765785057479246*^9, 3.7657853206778803`*^9, 3.765785833679318*^9,
3.7657862118415117`*^9, 3.76578660896168*^9, 3.7657869591779423`*^9,
3.765787090356251*^9, 3.765787245352292*^9, 3.765787414427713*^9,
3.765787665188833*^9, 3.76578798281851*^9, 3.765788499640532*^9,
3.765788807710904*^9, 3.7658724267272367`*^9, 3.765873251041677*^9,
3.765873402042523*^9, 3.765873513274035*^9, 3.7658735666504602`*^9,
3.7658736580234947`*^9, 3.765873740850526*^9, 3.765873828254313*^9,
3.765873907108773*^9, 3.765874006832098*^9, 3.76587410884623*^9,
3.765874215618916*^9, 3.7658743040177307`*^9, 3.765874447244021*^9,
3.765874526354931*^9, 3.765874648147313*^9, 3.765874779334765*^9,
3.7658748696240797`*^9, 3.765875064561741*^9, 3.7658751557533207`*^9,
3.765875327215172*^9, 3.765875385574119*^9, 3.765875426272264*^9,
3.7658755349866753`*^9, 3.765875627146257*^9, 3.765875677638516*^9,
3.765875760532752*^9, 3.7658758815122337`*^9, 3.765875943436802*^9,
3.765876001278043*^9, 3.7658761015667477`*^9, 3.765876182662116*^9,
3.765879117072728*^9, 3.765879233475309*^9, 3.765879326033531*^9,
3.765880493990905*^9, 3.774960154061204*^9, 3.898144835712119*^9,
3.8981511101064663`*^9, 3.89815115271107*^9, 3.898153875671576*^9, {
3.898155513620758*^9, 3.8981555557221823`*^9}, 3.898155880227844*^9,
3.898155920740465*^9, 3.898156620710569*^9, 3.898227764286147*^9,
3.898227929528593*^9, 3.8982293812475367`*^9, 3.898239182519092*^9,
3.8982398424928017`*^9, 3.898240817461463*^9, 3.8982447761190443`*^9,
3.898317181973673*^9, 3.910424817794037*^9, 3.910425349426422*^9,
3.910428367634651*^9, 3.9104314539008617`*^9, 3.910432968948461*^9,
3.9104335765728416`*^9, 3.910435691715324*^9, 3.910679077698347*^9,
3.910680851752409*^9, 3.9106820951895657`*^9, 3.9106823941945066`*^9,
3.910750785155246*^9, 3.910752620307515*^9, 3.910773044103178*^9,
3.910775362629407*^9, 3.910776113407179*^9, 3.9107783885021877`*^9,
3.910778634801712*^9, 3.910779352857253*^9, 3.952672060716666*^9, {
3.953100644264411*^9, 3.953100668081641*^9}, {3.953100727978924*^9,
3.953100736819865*^9}, 3.9531009167801447`*^9, 3.953100953019084*^9,
3.9531018942107077`*^9, 3.953102073928647*^9, 3.953112225421112*^9,
3.95311253169007*^9, 3.964593124977334*^9, 3.964596819777412*^9, {
3.964596977124102*^9, 3.96459700330085*^9}, 3.964597049514909*^9,
3.9645972370630302`*^9, 3.964597305172361*^9, 3.964597442200844*^9,
3.9645974992699203`*^9, 3.964597577278833*^9, 3.964597636728094*^9,
3.964677376404361*^9, 3.964677577821466*^9, 3.964677636420082*^9,
3.964686147780839*^9, 3.964686295457708*^9, 3.964697663308288*^9,
3.9647493981806917`*^9, 3.964754916361388*^9, 3.964754948706769*^9,
3.964755406448916*^9, 3.9647567878580427`*^9, 3.964757226323359*^9,
3.964757378321775*^9, 3.964757528870434*^9, 3.964757608987699*^9,
3.964757687375009*^9, 3.964757791922936*^9, 3.964757896967228*^9,
3.964758041400319*^9, 3.964758109421035*^9, 3.96475821796557*^9,
3.964758293875972*^9, 3.964758401660883*^9, 3.964758453567018*^9,
3.9647636532766037`*^9, 3.964763686088089*^9, 3.964763744286392*^9,
3.96476382553578*^9, 3.9647638816744747`*^9, 3.964764111999737*^9,
3.964764341939496*^9, 3.964764468784214*^9, 3.964764544791848*^9,
3.964764730678235*^9, 3.964764829694813*^9, 3.9647648925523653`*^9,
3.964764970539939*^9, 3.964765857091618*^9, 3.9647663863647833`*^9,
3.964766531740242*^9, 3.964766719776978*^9, 3.9647668776934767`*^9,
3.9647669548526487`*^9, 3.964767021360071*^9, 3.964767113886203*^9,
3.964767174376281*^9, 3.964767239162837*^9, 3.964767291419458*^9,
3.9647673484546537`*^9, 3.964767417474351*^9, 3.964767474051373*^9,
3.964767564530985*^9, 3.964767617730014*^9, 3.9647676709386673`*^9,
3.964767720363687*^9, 3.964840637185714*^9, 3.964840730517683*^9,
3.964840877204495*^9, 3.964841075027113*^9, 3.964841477003159*^9,
3.964841583719248*^9, 3.96484163132981*^9, 3.964841833047792*^9,
3.964841881467887*^9, 3.964841935088863*^9, 3.96484199272246*^9,
3.964842079237522*^9, 3.96484212838418*^9, 3.9648421887932587`*^9,
3.964842251378592*^9, 3.96484240041406*^9, 3.964842458787356*^9,
3.964842539875304*^9, 3.964842585029849*^9, {3.96484264916327*^9,
3.9648426769001627`*^9}, 3.964842721380641*^9, 3.9648427990018663`*^9,
3.9648428561809*^9, 3.964842912070876*^9, 3.964842956728876*^9,
3.964843011513523*^9, 3.9648430616171007`*^9, 3.965114229522933*^9,
3.965114329402265*^9, 3.965114386507292*^9, 3.965114439268524*^9},
CellLabel->
"Out[903]=",ExpressionUUID->"6b7d7519-15dc-40bc-8d74-b03af284d8d4"]
}, Open ]]
}, Closed]],
Cell[CellGroupData[{
Cell["P/Q type channel ", "Subsubsection",
CellChangeTimes->{{3.627109844217729*^9, 3.6271098572000437`*^9}, {
3.6271099668449287`*^9, 3.627109967765727*^9},
3.627281712331543*^9},ExpressionUUID->"5f7f64f1-3549-476e-a14c-\
1fe5c966fd64"],
Cell["\<\
(Li et al., J Neurosci, 2007; cf. Ermolyuk et al., Nat Neurosci, 2013 and \
Scimemi et al., J Neurosci, 2012)\
\>", "Text",
CellChangeTimes->{{3.627281716838683*^9,
3.627281726197528*^9}},ExpressionUUID->"c921af26-7b70-4f88-a21f-\
065c96b05f22"],
Cell[CellGroupData[{
Cell[BoxData[{
RowBox[{
RowBox[{"Clear", "[",
RowBox[{
"\[Alpha]", ",", "\[CapitalAlpha]", ",", "\[Beta]", ",",
"\[CapitalBeta]"}], "]"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"gPQ", "=",
RowBox[{"2.5", "*",
SuperscriptBox["10",
RowBox[{"-", "12"}]]}]}], ";"}], " ",
RowBox[{"(*",
RowBox[{"pS", ";", " ",
RowBox[{
"assumed", " ", "values", " ", "as", " ", "in", " ", "the", " ", "above",
" ", "papers"}]}], "*)"}],
"\[IndentingNewLine]"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"\[Alpha]", "[", "1", "]"}], "=",
RowBox[{"5.89", "*",
SuperscriptBox["10", "3"]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"\[Alpha]", "[", "2", "]"}], "=",
RowBox[{"9.21", "*",
SuperscriptBox["10", "3"]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"\[Alpha]", "[", "3", "]"}], "=",
RowBox[{"5.2", "*",
SuperscriptBox["10", "3"]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"\[Alpha]", "[", "4", "]"}], "=",
RowBox[{"1823.18", "*",
SuperscriptBox["10", "3"]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"\[CapitalAlpha]", "=",
RowBox[{"247.71", "*",
SuperscriptBox["10", "3"]}]}], ";"}],
"\[IndentingNewLine]"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"\[Beta]", "[", "1", "]"}], "=",
RowBox[{"14.99", "*",
SuperscriptBox["10", "3"]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"\[Beta]", "[", "2", "]"}], "=",
RowBox[{"6.63", "*",
SuperscriptBox["10", "3"]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"\[Beta]", "[", "3", "]"}], "=",
RowBox[{"132.8", "*",
SuperscriptBox["10", "3"]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"\[Beta]", "[", "4", "]"}], "=",
RowBox[{"248.58", "*",
SuperscriptBox["10", "3"]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"\[CapitalBeta]", "=",
RowBox[{"8.28", "*",
SuperscriptBox["10", "3"]}]}], ";"}],
"\[IndentingNewLine]"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"k", "[", "1", "]"}], "=",
RowBox[{"62.61", "*",
SuperscriptBox["10",
RowBox[{"-", "3"}]]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"k", "[", "2", "]"}], "=",
RowBox[{"33.92", "*",
SuperscriptBox["10",
RowBox[{"-", "3"}]]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"k", "[", "3", "]"}], "=",
RowBox[{"135.08", "*",
SuperscriptBox["10",
RowBox[{"-", "3"}]]}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{
RowBox[{"k", "[", "4", "]"}], "=",
RowBox[{"20.86", "*",
SuperscriptBox["10",
RowBox[{"-", "3"}]]}]}], ";"}],
"\[IndentingNewLine]"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"Table", "[",
RowBox[{
RowBox[{
RowBox[{"alpha", "[", "i", "]"}], "=",
RowBox[{
RowBox[{"\[Alpha]", "[", "i", "]"}], " ",
RowBox[{"Exp", "[",
RowBox[{"Vm", "/",
RowBox[{"k", "[", "i", "]"}]}], "]"}]}]}], ",",
RowBox[{"{",
RowBox[{"i", ",", "1", ",", "4"}], "}"}]}], "]"}],
";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"Table", "[",
RowBox[{
RowBox[{
RowBox[{"beta", "[", "i", "]"}], "=",
RowBox[{
RowBox[{"\[Beta]", "[", "i", "]"}], " ",
RowBox[{"Exp", "[",
RowBox[{
RowBox[{"-", "Vm"}], "/",
RowBox[{"k", "[", "i", "]"}]}], "]"}]}]}], ",",
RowBox[{"{",
RowBox[{"i", ",", "1", ",", "4"}], "}"}]}], "]"}], ";"}],
"\[IndentingNewLine]"}], "\[IndentingNewLine]",
RowBox[{"Plot", "[",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{"alpha", "[", "1", "]"}], ",",
RowBox[{"alpha", "[", "2", "]"}], ",",
RowBox[{"alpha", "[", "3", "]"}], ",",
RowBox[{"alpha", "[", "4", "]"}]}], "}"}], ",",
RowBox[{"{",
RowBox[{"t", ",", "0", ",", "TimeWindow"}], "}"}], ",",
RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}], "\[IndentingNewLine]",
RowBox[{"Plot", "[",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{"beta", "[", "1", "]"}], ",",
RowBox[{"beta", "[", "2", "]"}], ",",
RowBox[{"beta", "[", "3", "]"}], ",",
RowBox[{"beta", "[", "4", "]"}]}], "}"}], ",",
RowBox[{"{",
RowBox[{"t", ",", "0", ",", "TimeWindow"}], "}"}], ",",
RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]}], "Input",
CellChangeTimes->{
3.627108562535685*^9, {3.6271087286132517`*^9, 3.627109020427792*^9}, {
3.627109077834787*^9, 3.627109138218568*^9}, {3.6271092101456842`*^9,
3.6271092950220003`*^9}, {3.627109457767684*^9, 3.627109482203333*^9}, {
3.627109530862877*^9, 3.6271095705294447`*^9}, {3.627109644613399*^9,
3.6271097913901567`*^9}, {3.6271113379907722`*^9,
3.6271113973805733`*^9}, {3.627112071842616*^9, 3.627112104833665*^9}, {
3.627113344032403*^9, 3.627113396399404*^9}, {3.627113441916552*^9,
3.6271134903764753`*^9}, {3.627115291213114*^9, 3.627115336449586*^9}, {
3.627115369782669*^9, 3.6271153829886103`*^9}, {3.627115436546105*^9,
3.627115496216498*^9}, {3.627127792559696*^9, 3.627127830865074*^9}, {
3.627128126476204*^9, 3.627128181092885*^9}, {3.627128246083508*^9,
3.627128268749851*^9}, {3.6271283149427433`*^9, 3.627128317494464*^9}, {
3.627128348429594*^9, 3.627128385487521*^9}, {3.627128549962824*^9,
3.6271286210020447`*^9}, {3.627128702958153*^9, 3.627128747993002*^9},
3.6271320642143297`*^9, {3.627204613648691*^9, 3.627204639311545*^9}, {
3.627375151032393*^9, 3.627375168552302*^9}, {3.675583671547656*^9,
3.6755836733541822`*^9}},
CellLabel->
"In[904]:=",ExpressionUUID->"8c3cac1a-cb56-4a49-aa8c-5b377837b406"],
Cell[BoxData[
GraphicsBox[
InterpretationBox[{
TagBox[{{{}, {},
TagBox[
{RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[2],
Opacity[1.],
LineBox[{{4.0816326530612245`*^-11, 1641.3266367848114`}, {
0.00001962868160969366, 1641.3266367848114`}, {
0.00003925732240306079, 1641.3266367848114`}, {
0.000060537018286989036`, 1641.3266367848114`}, {
0.00008181671417091729, 1641.3266367848114`}, {
0.00008678409579209064, 1641.3266367848114`}, {0.000091751477413264,
1641.3266367848114`}, {0.00009423516822385068,
1641.3266367848114`}, {0.00009671885903443737,
1641.3266367848114`}, {0.00009796070443973071,
1641.3266367848114`}, {0.00009920254984502405,
1641.3266367848114`}, {0.00009936224489795917,
1641.3266367848114`}}], LineBox[CompressedData["
1:eJwV13c81d8bAHCUFclWCFnJvGYIz0P2yh7XutlKyUrFtyghaYnqXiMj2UL2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"]]},
Annotation[#, "Charting`Private`Tag#1"]& ],
TagBox[
{RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[2],
Opacity[1.],
LineBox[{{4.0816326530612245`*^-11, 870.92386604641}, {
0.00001962868160969366, 870.92386604641}, {0.00003925732240306079,
870.92386604641}, {0.000060537018286989036`, 870.92386604641}, {
0.00008181671417091729, 870.92386604641}, {0.00008678409579209064,
870.92386604641}, {0.000091751477413264, 870.92386604641}, {
0.00009423516822385068, 870.92386604641}, {0.00009671885903443737,
870.92386604641}, {0.00009796070443973071, 870.92386604641}, {
0.00009920254984502405, 870.92386604641}, {0.00009936224489795917,
870.92386604641}}], LineBox[CompressedData["
1:eJwV13c4lt8bAHBaisgqJSR7b7Lv295775VVZIc0rFK9r70llaKMRNllJqMy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"]]},
Annotation[#, "Charting`Private`Tag#2"]& ],
TagBox[
{RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[2],
Opacity[1.],
LineBox[{{4.0816326530612245`*^-11, 2876.047601477371}, {
0.00001962868160969366, 2876.047601477371}, {0.00003925732240306079,
2876.047601477371}, {0.000060537018286989036`,
2876.047601477371}, {0.00008181671417091729, 2876.047601477371}, {
0.00008678409579209064, 2876.047601477371}, {0.000091751477413264,
2876.047601477371}, {0.00009423516822385068, 2876.047601477371}, {
0.00009671885903443737, 2876.047601477371}, {0.00009796070443973071,
2876.047601477371}, {0.00009920254984502405, 2876.047601477371}, {
0.00009936224489795917, 2876.047601477371}}],
LineBox[CompressedData["
1:eJwV13dcTf8fB/BEioaWSksl7W6321BR7097771vQ4NIJaFEQ4MQmgoV3Xvb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"]]},
Annotation[#, "Charting`Private`Tag#3"]& ],
TagBox[
{RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[2],
Opacity[1.],
LineBox[{{4.0816326530612245`*^-11, 39379.5412856684}, {
0.00001962868160969366, 39379.5412856684}, {0.00003925732240306079,
39379.5412856684}, {0.000060537018286989036`, 39379.5412856684}, {
0.00008181671417091729, 39379.5412856684}, {0.00008678409579209064,
39379.5412856684}, {0.000091751477413264, 39379.5412856684}, {
0.00009423516822385068, 39379.5412856684}, {0.00009671885903443737,
39379.5412856684}, {0.00009796070443973071, 39379.5412856684}, {
0.00009920254984502405, 39379.5412856684}, {0.00009936224489795917,
39379.5412856684}}], LineBox[CompressedData["
1:eJwV13c8Vt8fAHBEZGWTvbJ39vqcw2PvvfdjlZEkQmVUKJWKoihpSaJk7xRK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"]]},
Annotation[#, "Charting`Private`Tag#4"]& ], {}}, {}},
{"WolframDynamicHighlight", <|
"Label" -> {"XYLabel"}, "Ball" -> {"InterpolatedBall"}|>}],
StyleBox[
DynamicBox[(Charting`HighlightActionBox["DynamicHighlight", {},
Slot["HighlightElements"],
Slot["LayoutOptions"],
Slot["Meta"],
Charting`HighlightActionFunction["DynamicHighlight", {{{{}, {},
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.368417, 0.506779, 0.709798],
AbsoluteThickness[2]],
Line[{{4.0816326530612245`*^-11, 1641.3266367848114`}, {
0.00001962868160969366, 1641.3266367848114`}, {
0.00003925732240306079, 1641.3266367848114`}, {
0.000060537018286989036`, 1641.3266367848114`}, {
0.00008181671417091729, 1641.3266367848114`}, {
0.00008678409579209064, 1641.3266367848114`}, {
0.000091751477413264, 1641.3266367848114`}, {
0.00009423516822385068, 1641.3266367848114`}, {
0.00009671885903443737, 1641.3266367848114`}, {
0.00009796070443973071, 1641.3266367848114`}, {
0.00009920254984502405, 1641.3266367848114`}, {
0.00009936224489795917, 1641.3266367848114`}}],
Line[CompressedData["
1:eJwV13c81d8bAHCUFclWCFnJvGYIz0P2yh7XutlKyUrFtyghaYnqXiMj2UL2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"]]}, "Charting`Private`Tag#1"],
Annotation[{
Directive[
Opacity[1.],
RGBColor[0.880722, 0.611041, 0.142051],
AbsoluteThickness[2]],
Line[{{4.0816326530612245`*^-11, 870.92386604641}, {
0.00001962868160969366, 870.92386604641}, {
0.00003925732240306079, 870.92386604641}, {
0.000060537018286989036`, 870.92386604641}, {
0.00008181671417091729, 870.92386604641}, {
0.00008678409579209064, 870.92386604641}, {0.000091751477413264,
870.92386604641}, {0.00009423516822385068, 870.92386604641}, {
0.00009671885903443737, 870.92386604641}, {
0.00009796070443973071, 870.92386604641}, {
0.00009920254984502405, 870.92386604641}, {
0.00009936224489795917, 870.92386604641}}],
Line[CompressedData["
1:eJwV13c4lt8bAHBaisgqJSR7b7Lv295775VVZIc0rFK9r70llaKMRNllJqMy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CD_estimate_PFC.nb at commit 419c43d, under MIT · at the source

Overview

Authors: Grit Bornschein¹, Max Schwarze¹, Antonia Brunner¹, Akanksha Arshia¹, Simone Brachtendorf¹, Hartmut Schmidt¹

ORCID iDs: Grit Bornschein, Simone Brachtendorf, Hartmut Schmidt

Carl Ludwig Institute for Physiology, Medical Faculty, University of Leipzig Leipzig Germany

Institutions: Leipzig University (Germany)

Journal: eLife, volume 15, article RP110314

Dates: published online 28 October 2026

Type: Research article · Language: English

License: CC BY

Identifiers: DOI 10.7554/elife.110314 · PMID 42949826 · PMCID PMC13719166 · OpenAlex W7162467468

Open access: gold, a free copy (OpenAlex)

Status: code verified (how the code is found and verified)

Categories: mouse (organism), cellular / molecular (subfield)

Methods: Statistics, Single-unit activity, calcium imaging

Keywords: prefrontal cortex, pyramidal neurons, coupling distance, short-term plasticity, Mouse

MeSH: Calcium Channels*, Prefrontal Cortex*, Pyramidal Cells*, Somatosensory Cortex*, Synapses*, Animals, Mice, Neocortex, Neuronal Plasticity (* major topic)

Journal subjects: Neuroscience

Topic: Neuroscience and Neuropharmacology Research (Cellular and Molecular Neuroscience, Neuroscience), according to OpenAlex

Funding: Deutsche Forschungsgemeinschaft (SCHM1838/6-1)

Citations: not cited yet (Europe PMC); 84 references in the paper

Research resources: Patchmaster version 2x90.2 RRID:SCR_000034, Igor Pro, version 6.32 and 8.03 RRID:SCR_000325, NaCl RRID:SCR_001287, MaxChelator RRID:SCR_003210, (-)-Bicuculline methiodide RRID:SCR_003689, NaHCO3 RRID:SCR_005711, EGTA-AM RRID:SCR_008452, KCl RRID:SCR_008988, Pluronic F-127 RRID:SCR_013318, 2-Amino-5-phosphonovaleric acid RRID:SCR_013570, Mathematica 14 RRID:SCR_014448, Stimulus Isolator ISO-Stim 01 DPI RRID:SCR_016002, PMT module H7422-40 RRID:SCR_017105, Amplifier EPC10/2 RRID:SCR_018399, Fluoview 300 version 4.3 RRID:SCR_020339, Puller PC-10 RRID:SCR_022057, Microscope BX51WI RRID:SCR_023069

Abstract

In the mature neocortex, functionally distinct areas are built by the same archetypes of neurons, but depending on the area, these neurons and their synapses are engaged in very different functions, ranging from lower-order processing of sensory information to higher-order associations and cognitive functions. We found significant differences in the functional presynaptic nanoarchitectures of the same types of pyramidal neuron synapses, depending on whether they are located in the prefrontal cortex (PFC) or in the primary somatosensory cortex (S1) of mice. Mature synapses in PFC operated with loose microdomain coupling, as opposed to tight nanodomain coupling in S1. These differences were associated with significant differences in synaptic timing, efficacy, and plasticity between areas. Our data suggest that the mature neocortex uses tuning of synaptic topographies to specialize seemingly identical types of neurons for their required function. They suggest that microdomain coupling in pyramidal neuron synapses could be a presynaptic structure-function correlate of higher-order neocortical functions.

Reproduced under the paper's license (CC BY), from the paper cited above.

Repository

Its files are read in the Code ↔ Paper reader above.

Hartmut-Schmidt/eLife2026

License: MIT

State: the link answers, verified on 30 October 2026

Evidence: files inventoried

Commit: 419c43da2e952527112c75f87991c66f4a4fc7d6, 27 October 2026

Languages: Mathematica (6)

Size: 7 files, 6 scripts

Software Heritage: not archived

Found in: “Data availability”

Holds: license file, 6 notebooks

Not found: README, CITATION.cff, environment file, tests, continuous integration, documentation

Availability: 1 check, the latest on 30 October 2026: the link answers

30 October 2026: the link answers

7 files

CD_estimate_PFC.nb, Mathematica, 3,484 lines
Ca fit SiCoMo PFC.nb, Mathematica, 3,559 lines
Ca_N.nb, Mathematica, 3,474 lines
Ca_PQ.nb, Mathematica, 3,474 lines
Ca_data_fit.nb, Mathematica, 3,604 lines
Release_cluster_ring_PFC.nb, Mathematica, 3,152 lines
LICENSE, License, 21 lines

At the source: github.com/Hartmut-Schmidt/eLife2026

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
6 scripts, each with its path and the digest of its content;
no match between paragraphs and code yet;
neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data availability

All data are available in the main text or in the supplemental information.All original code has been deposited at GitHub and is publicly available (https://github.com/Hartmut-Schmidt/eLife2026, copy archived at Hartmut-Schmidt, 2026).

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 30 October 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 6 authors, 5 keywords, 9 MeSH terms, 1 funder, 82 references, 17 RRIDs.

Cite

This paper

Bornschein, G., Schwarze, M., Brunner, A., Arshia, A., Brachtendorf, S., & Schmidt, H. (2026). Loose coupling between Ca2+ channels and release sensors as a synaptic correlate of higher-order brain function. eLife, 15, RP110314. https://doi.org/10.7554/elife.110314

BibTeX

@article{bornschein2026loose, author = {Bornschein, Grit and Schwarze, Max and Brunner, Antonia and Arshia, Akanksha and Brachtendorf, Simone and Schmidt, Hartmut}, title = {{Loose coupling between Ca\<sup\>2+\</sup\> channels and release sensors as a synaptic correlate of higher-order brain function}}, journal = {eLife}, year = {2026}, month = oct, volume = {15}, pages = {RP110314}, publisher = {eLife Sciences Publications, Ltd}, issn = {2050-084X}, doi = {10.7554/elife.110314}, url = {https://doi.org/10.7554/elife.110314}, pmid = {42949826}, pmcid = {PMC13719166} }

RIS

TY - JOUR AU - Bornschein, Grit AU - Schwarze, Max AU - Brunner, Antonia AU - Arshia, Akanksha AU - Brachtendorf, Simone AU - Schmidt, Hartmut TI - Loose coupling between Ca2+ channels and release sensors as a synaptic correlate of higher-order brain function T2 - eLife J2 - eLife PY - 2026 DA - 2026/10/28 VL - 15 SP - RP110314 SN - 2050-084X PB - eLife Sciences Publications, Ltd DO - 10.7554/elife.110314 UR - https://doi.org/10.7554/elife.110314 LA - en ER -

CSL-JSON

{ "id": "10.7554/elife.110314", "type": "article-journal", "title": "Loose coupling between Ca2+ channels and release sensors as a synaptic correlate of higher-order brain function", "container-title": "eLife", "author": [ { "family": "Bornschein", "given": "Grit" }, { "family": "Schwarze", "given": "Max" }, { "family": "Brunner", "given": "Antonia" }, { "family": "Arshia", "given": "Akanksha" }, { "family": "Brachtendorf", "given": "Simone" }, { "family": "Schmidt", "given": "Hartmut" } ], "container-title-short": "eLife", "volume": "15", "page": "RP110314", "DOI": "10.7554/elife.110314", "PMID": "42949826", "PMCID": "PMC13719166", "ISSN": "2050-084X", "publisher": "eLife Sciences Publications, Ltd", "URL": "https://doi.org/10.7554/elife.110314", "language": "en", "issued": { "date-parts": [ [ 2026, 10, 28 ] ] } }

The tracing map gets a citation of its own once an author has validated it and it has a DOI.

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1073/pnas.2305460120 [code]: Fully-primed slowly-recovering vesicles mediate presynaptic LTP at neocortical neurons.
Journal: Proceedings of the National Academy of Sciences of the United States of America
In common: cellular / molecular, 7 references, 2 authors
[2] doi:10.1126/sciadv.ady4344: Charting the nanotopography of inner hair cell synapses using MINFLUX nanoscopy.
Journal: Science advances
In common: mouse, cellular / molecular, 12 references
[3] doi:10.1073/pnas.2322550121 [code]: Different states of synaptic vesicle priming explain target cell type-dependent differences in neurotransmitter release.
Journal: Proceedings of the National Academy of Sciences of the United States of America
In common: mouse, cellular / molecular, 9 references
[4] doi:10.1016/j.neuron.2022.09.035: Different priming states of synaptic vesicles underlie distinct release probabilities at hippocampal excitatory synapses.
Journal: Neuron
In common: cellular / molecular, 9 references
[5] doi:10.1073/pnas.2320505121: Complexin has a dual synaptic function as checkpoint protein in vesicle priming and as a promoter of vesicle fusion.
Journal: Proceedings of the National Academy of Sciences of the United States of America
In common: cellular / molecular, 6 references
[6] doi:10.1073/pnas.2426290122 [code]: Interactions between long- and short-term synaptic plasticity transform temporal neural representations into spatial.
Journal: Proceedings of the National Academy of Sciences of the United States of America
In common: mouse, cellular / molecular, 6 references
[7] doi:10.7554/elife.88412: Ca2+ channel and active zone protein abundance intersects with input-specific synapse organization to shape functional synaptic diversity.
Journal: eLife
In common: cellular / molecular, 4 references
[8] doi:10.3390/biomedicines14040771 [code]: A Fast Synaptic Parameter Estimation Method Based on First- and Second-Order Moments for Short-Term Facilitating Synapses.
Journal: Biomedicines
In common: cellular / molecular, 4 references
[9] doi:10.1038/s41467-026-71426-8 [code]: Distinct modes of dopamine modulation on striatopallidal synaptic transmission.
Journal: Nature communications
In common: mouse, cellular / molecular, 4 references
[10] doi:10.7554/elife.90632 [code]: Synaptotagmin 7 docks synaptic vesicles to support facilitation and Doc2α-triggered asynchronous release.
Journal: eLife
In common: mouse, cellular / molecular, 4 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Add the badge to the code's README

If you are an author or a maintainer of this paper's code, you can add this badge. It says what OSCR knows of the paper (its code, its validated tracing map) and links the code to this page. Paste one of these snippets under the README's title. Keep the two marks around it, so that the badge can be replaced in place and is never added twice. OSCR changes nothing in your repository.

Markdown

<!-- oscr-badge:start -->
[![OSCR](https://openscicode.org/badge/doi/10.7554/elife.110314.svg)](https://openscicode.org/badge/doi/10.7554/elife.110314)
<!-- oscr-badge:end -->

reStructuredText

.. oscr-badge:start

.. image:: https://openscicode.org/badge/doi/10.7554/elife.110314.svg
   :target: https://openscicode.org/badge/doi/10.7554/elife.110314
   :alt: OSCR

.. oscr-badge:end

HTML

<!-- oscr-badge:start -->
<a href="https://openscicode.org/badge/doi/10.7554/elife.110314"><img src="https://openscicode.org/badge/doi/10.7554/elife.110314.svg" alt="OSCR"></a>
<!-- oscr-badge:end -->

On GitHub, open the README, choose Edit (the pencil), paste the snippet under the title, then "Commit changes".

Hartmut-Schmidt/eLife2026 on GitHub (add a README there)

If you choose to, you can have the badge kept up to date for you, with oscr badge --write from the command line or with the GitHub Action in your repository's workflows. Every other form and option (a card, AsciiDoc, LaTeX, shields.io) is on the badge page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: code errors and mismatches between the code and the paper about this paper and its code, from readers and its authors, beside the paper and its tracing map.

Report a mismatch between the code and the paper · Report a code error (signed in)

Reproductions: reports from readers who ran the authors' code and did not get the paper's result, what they ran, with which environment, commit and data.

Report a reproduction failure (signed in)

Versions of its code: the releases of its code tied to a version of this paper (the preprint, the accepted manuscript, the version of record…), each with the tracing map versioned with it.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.

Loose coupling between Ca<sup>2+</sup> channels and release sensors as a synaptic correlate of higher-order brain function.

Code ↔ Paper

Paper

The authors' code

Overview

Abstract

Repository

Hartmut-Schmidt/eLife2026

Tracing map

Data

Data availability

Versions

Version 1, 30 October 2026: the first record

Cite

This paper

Similar papers

Contribute

Claim this paper

Correct its record

Validate its tracing map

Add the badge to the code's README

Request its removal

Discussion, reproductions, activity

Loose coupling between Ca&lt;sup&gt;2+&lt;/sup&gt; channels and release sensors as a synaptic correlate of higher-order brain function.

Code ↔ Paper

Overview

Abstract

Repository

Hartmut-Schmidt/eLife2026

Tracing map

Data

Data availability

Versions

Version 1, 30 October 2026: the first record

Cite

This paper

Similar papers

Contribute

Claim this paper

Correct its record

Validate its tracing map

Add the badge to the code's README

Request its removal

Discussion, reproductions, activity

Loose coupling between Ca<sup>2+</sup> channels and release sensors as a synaptic correlate of higher-order brain function.