Thalamic reticular neurons provide cell type-specific modulation of sound processing in the auditory thalamus.
The 6 matches · 2 of them tie a paragraph to a whole file, not to given lines: weak matches, whose lines are not tinted
- [1] § Materials and methods › Computational modeling ↔ TRN_MGB_celltypespecific-main.zip/simulations/GJ_PV_SOM/PV_SOM_inh/TRN_div/simParams.m, lines 1–67 · score 0.86 · Electrical synapses, Capacitance, cm2, leak, rise, AR
- [2] § Materials and methods › Computational modeling ↔ TRN_MGB_celltypespecific-main.zip/simulations/GJ_PV_SOM/PV_SOM_inh/TRN_div/dsim.m, lines 52–86 · score 0.57 · rectifier, AR, K2, Kd, Kt, NaT
- [3] § Materials and methods › Acute electrophysiological recordings ↔ Rolon_Martinez_2024-main.zip/Jupyter notebooks/previous_code/SpikeAnalysis_All_Mice_PaperCode_Final2.ipynb, lines 815–885 · score 0.53 · OpenEphys, spike sorted, viral, probe, Mice, Stimuli
- [4] § Materials and methods › Acute electrophysiological recordings ↔ Rolon_Martinez_2024-main.zip/Jupyter notebooks/previous_code/SpikeAnalysis_All_Mice_PaperCode_Final2_MUA.ipynb, lines 917–993 · score 0.53 · OpenEphys, spike sorted, viral, probe, Mice, Stimuli
- [5] § Results › Specifics of connectivity between MGB-TRN circuits determine the sign of MGB responses during TRN cell-type inactivation ↔ TRN_MGB_celltypespecific-main.zip/simulations/GJ_PV_SOM/recip_div_TRN_inh/extractData.m, the whole file · a weak match · score 0.51 · Divergence ratio, Reciprocal ratio, TRN MGB, silencing, HO, peak
- [6] § Results › Specifics of connectivity between MGB-TRN circuits determine the sign of MGB responses during TRN cell-type inactivation ↔ TRN_MGB_celltypespecific-main.zip/simulations/recip_div_TRN_wSOMlat_inh/extractData.m, the whole file · a weak match · score 0.51 · Divergence ratio, Reciprocal ratio, TRN MGB, silencing, HO, peak
Paper
Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC
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The authors' code
MATLAB · 95 lines · 2.6 KB · MIT · 1 match
- classdef simParams
- % Parameters passed to a dsim function
- % 'default' values:
- properties
- g_ca_lts = 0.75; %gca of .75 with leak of .1 is good;
- g_nat = 60.5;
- g_kd = 60;
- g_nap = 0;
- g_kt = 5;
- g_k2 = .5;
- g_ar = 0.025;
- g_L = 0.1;
- g_GtACR = 10;
- E_na = 50;
- E_k = -100;
- E_ca = 125;
- E_ar = -40;
- E_L = -75;
- E_GtACR = -70;
- E_AMPA = 0;
- E_GABA = -100;
- C = 1; % membrance capacitance uF/cm^2
- Ti1 = 5; %Inh rise time constant %1e-4/5e-4 is good for b-let.
- Ti2 = 35; %fall time constant %5e-3 / 20e-3 ?? ~50 ms rise.
- Te1 = 5; %Exc
- Te2 = 35;
- GtACR_on = {};
- GtACR_off = {};
- n
- names
- per_neuron
- s0
- Rin
- vm_rest
- %DC pulses
- bias
- iDC % uA/cm2; DC .25 is ~TR for burst
- istart={};
- %istop={};
- %Alpha/Beta Synapses
- A %amplitude of AMPAergic input to cell 1. (0.2)
- tA={}; %arrival time of AMPAergic input to cell 1.
- AI %amplitude of GABAergic input to cell 1.
- tAI={}; %arrival time of GABAergic input to cell 1.
- A_TC_MGB =0; %amplitude of AMPAergic TC synapses
- A_TC_HO =0;
- A_TCx_MGB =0; %TC cross-exc MGB->SOM
- A_TCx_HO =0; % HO->PV
- AI_TRN_PV =0; %amplitude of GABAergic TRN synapses
- AI_TRN_SOM =0;
- AI_TRNx_PV =0; %TRN cross-inh PV-|HO
- AI_TRNx_SOM=0; % SOM-|MGB
- AI_TRNi_PV =0; %intra-TRN inh PV-|SOM
- AI_TRNi_SOM=0; % SOM-|PV
- %Electrical Synapses
- Gc_total
- gj
- cc
- end
- methods
- function sp = simParams(namesOfNeurons,per_neuron,s0)
- if nargin > 0
- sp.names = namesOfNeurons;
- sp.n = length(namesOfNeurons);
- sp.per_neuron = per_neuron;
- sp.s0 = s0;
- sp.g_L(1:sp.n) = 0.1;
- sp.bias(1:sp.n) = 0;
- sp.iDC(1:sp.n) = 0;
- sp.istart(1:sp.n) = {0};
- sp.A(1:sp.n) = 0;
- sp.tA(1:sp.n) = {0};
- sp.AI(1:sp.n) = 0;
- sp.tAI(1:sp.n) = {0};
- sp.GtACR_on(1:sp.n) = {0};
- sp.GtACR_off(1:sp.n) = {0};
- sp.gj=zeros(sum(startsWith(namesOfNeurons,'TRN')));
- end
- end
- end
- end
simParams.m, under MIT · at the source
Overview
- Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania, United States of America
- Departments of Neuroscience and Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
Abstract
Inhibition plays an important role in controlling the flow and processing of auditory information throughout the central auditory pathway, yet how inhibitory circuits shape auditory processing in the medial geniculate body (MGB), the key region in the auditory thalamus, is poorly understood. The MGB gates the flow of auditory information to the auditory cortex, and it is inhibited largely by the thalamic reticular nucleus (TRN). The TRN contains two major classes of inhibitory neurons: parvalbumin (PVTRN)-positive and somatostatin (SSTTRN)-positive neurons. PV and SST neurons have been shown to play differential roles in controlling sound responses in auditory cortex. In the somatosensory and visual subregions of the TRN, PVTRN and SSTTRN neurons exhibit anatomical and functional differences. However, it remains unknown whether and how PVTRN and SSTTRN neurons differ in their anatomical projections from the TRN to the auditory thalamus, and whether and how they differentially modulate activity in the MGB. Here, we investigated virally labeled projections of PVTRN or SSTTRN neurons, and recorded neuronal responses in the MGB of awake, head-fixed mice while presenting sound stimuli and selectivity suppressing PVTRN or SSTTRN neurons on a subset of trials. We find that PVTRN and SSTTRN neurons exhibit differential projection patterns within the auditory thalamus: PVTRN neurons predominantly project to ventral MGB, whereas SSTTRN neurons project to the dorso-medial regions of MGB. Optogenetic inactivation of PVTRN neurons bidirectionally modulated sound-evoked activity in MGB, increasing firing in 29% of MGB neurons, while suppressing firing in 41%. In contrast, inactivating SSTTRN neurons largely suppressed tone-evoked activity in MGB neurons. Cell type-specific computational models identified candidate circuit mechanisms for generating the differential effects of TRN inactivation on MGB sound responses. These distinct inhibitory pathways within the auditory thalamus reveal cell type-specific organization of thalamic inhibition in auditory computation.
Reproduced under the paper's license (CC BY), from the paper cited above.
Repository
Its files are read in the Code ↔ Paper reader above, with 6 matches between paragraphs and lines of code.
Zenodo 18601673
Availability: 2 checks, the latest on 30 September 2026: the link answers (HTTP 200)
- 30 September 2026: the link answers (HTTP 200)
- 30 September 2026: the link answers (HTTP 200)
80 files
- Rolon_Martinez_2024-main
.zip/ , Jupyter, 4,107 linesJupyter notebooks/ Paper_code_PV.ipynb - Rolon_Martinez_2024-main
.zip/ , Jupyter, 4,088 linesJupyter notebooks/ Paper_code_SOM.ipynb - Rolon_Martinez_2024-main
.zip/ , Jupyter, 3,996 linesJupyter notebooks/ Paper_code_SOM_TRN.ipynb - Rolon_Martinez_2024-main
.zip/ , Jupyter, 268 linesJupyter notebooks/ previous_code/ QuickSavePSTH_Laser_Pape r.ipynb - Rolon_Martinez_2024-main
.zip/ , Jupyter, 320 linesJupyter notebooks/ previous_code/ QuickSavePSTH_Paper.ipyn b - Rolon_Martinez_2024-main
.zip/ , Jupyter, 3,484 lines, 1 matchJupyter notebooks/ previous_code/ SpikeAnalysis_All_Mice_P aperCode_Final2.ipynb - Rolon_Martinez_2024-main
.zip/ , Jupyter, 3,623 lines, 1 matchJupyter notebooks/ previous_code/ SpikeAnalysis_All_Mice_P aperCode_Final2_MUA.ipyn b - Rolon_Martinez_2024-main
.zip/ , Jupyter, 3,906 linesJupyter notebooks/ previous_code/ martinez_drotos_paper_co de_all.ipynb - Rolon_Martinez_2024-main
.zip/ , Jupyter, 1,413 linesJupyter notebooks/ previous_code/ receptive_field_analysis .ipynb - Rolon_Martinez_2024-main
.zip/ , Python, 5,561 linesPaper_code_MUA.py - Rolon_Martinez_2024-main
.zip/ , Python, 5,264 linesPaper_code_PV.py - Rolon_Martinez_2024-main
.zip/ , Python, 5,261 linesPaper_code_SOM.py - Rolon_Martinez_2024-main
.zip/ , Python, 5,004 linesPaper_code_SOM_TRN.py - Rolon_Martinez_2024-main
.zip/ , Python, 757 lineshelper_analysis.py - Rolon_Martinez_2024-main
.zip/ , Python, 613 lineshelper_plotting.py - Rolon_Martinez_2024-main
.zip/ , Python, 427 lineshelper_statistics.py - Rolon_Martinez_2024-main
.zip/ , Python, 1,951 linesreceptive_field_analysis .py - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 192 linessimulations/ GJ_PV_SOM/ PV_SOM_inh/ TRN_div/ Run_dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 134 linessimulations/ GJ_PV_SOM/ PV_SOM_inh/ TRN_div/ display_graph.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 238 lines, 1 matchsimulations/ GJ_PV_SOM/ PV_SOM_inh/ TRN_div/ dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 94 linessimulations/ GJ_PV_SOM/ PV_SOM_inh/ TRN_div/ extractData.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 95 lines, 1 matchsimulations/ GJ_PV_SOM/ PV_SOM_inh/ TRN_div/ simParams.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 198 linessimulations/ GJ_PV_SOM/ PV_SOM_inh/ TRN_recip/ Run_dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 134 linessimulations/ GJ_PV_SOM/ PV_SOM_inh/ TRN_recip/ display_graph.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 238 linessimulations/ GJ_PV_SOM/ PV_SOM_inh/ TRN_recip/ dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 102 linessimulations/ GJ_PV_SOM/ PV_SOM_inh/ TRN_recip/ extractData.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 95 linessimulations/ GJ_PV_SOM/ PV_SOM_inh/ TRN_recip/ simParams.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 196 linessimulations/ GJ_PV_SOM/ recip_div_TC_exc/ Run_dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 134 linessimulations/ GJ_PV_SOM/ recip_div_TC_exc/ display_graph.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 238 linessimulations/ GJ_PV_SOM/ recip_div_TC_exc/ dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 94 linessimulations/ GJ_PV_SOM/ recip_div_TC_exc/ extractData.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 95 linessimulations/ GJ_PV_SOM/ recip_div_TC_exc/ simParams.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 202 linessimulations/ GJ_PV_SOM/ recip_div_TRN_inh/ Run_dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 134 linessimulations/ GJ_PV_SOM/ recip_div_TRN_inh/ display_graph.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 238 linessimulations/ GJ_PV_SOM/ recip_div_TRN_inh/ dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 102 lines, 1 matchsimulations/ GJ_PV_SOM/ recip_div_TRN_inh/ extractData.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 95 linessimulations/ GJ_PV_SOM/ recip_div_TRN_inh/ simParams.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 209 linessimulations/ GtACR_laser_only/ Run_dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 134 linessimulations/ GtACR_laser_only/ display_graph.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 238 linessimulations/ GtACR_laser_only/ dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 98 linessimulations/ GtACR_laser_only/ extractData.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 130 linessimulations/ GtACR_laser_only/ makePlots.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 95 linessimulations/ GtACR_laser_only/ simParams.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 190 linessimulations/ PV_SOM_inh/ TRN_div/ Run_dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 134 linessimulations/ PV_SOM_inh/ TRN_div/ display_graph.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 238 linessimulations/ PV_SOM_inh/ TRN_div/ dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 94 linessimulations/ PV_SOM_inh/ TRN_div/ extractData.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 95 linessimulations/ PV_SOM_inh/ TRN_div/ simParams.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 196 linessimulations/ PV_SOM_inh/ TRN_recip/ Run_dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 134 linessimulations/ PV_SOM_inh/ TRN_recip/ display_graph.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 238 linessimulations/ PV_SOM_inh/ TRN_recip/ dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 134 linessimulations/ PV_SOM_inh/ TRN_recip/ extractData.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 95 linessimulations/ PV_SOM_inh/ TRN_recip/ simParams.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 194 linessimulations/ recip_div_TC_exc/ Run_dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 134 linessimulations/ recip_div_TC_exc/ display_graph.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 238 linessimulations/ recip_div_TC_exc/ dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 94 linessimulations/ recip_div_TC_exc/ extractData.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 95 linessimulations/ recip_div_TC_exc/ simParams.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 200 linessimulations/ recip_div_TRN_inh/ Run_dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 134 linessimulations/ recip_div_TRN_inh/ display_graph.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 238 linessimulations/ recip_div_TRN_inh/ dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 102 linessimulations/ recip_div_TRN_inh/ extractData.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 95 linessimulations/ recip_div_TRN_inh/ simParams.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 202 linessimulations/ recip_div_TRN_wSOMlat_in h/ Run_dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 134 linessimulations/ recip_div_TRN_wSOMlat_in h/ display_graph.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 238 linessimulations/ recip_div_TRN_wSOMlat_in h/ dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 102 lines, 1 matchsimulations/ recip_div_TRN_wSOMlat_in h/ extractData.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 95 linessimulations/ recip_div_TRN_wSOMlat_in h/ simParams.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 230 linessrc/ Run_dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 16 linessrc/ common files/ all_combos.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 8 linessrc/ common files/ poissonP.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 8 linessrc/ common files/ return_histogram.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 84 linessrc/ common files/ slider.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 86 linessrc/ common files/ varMenus.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 134 linessrc/ display_graph.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 238 linessrc/ dsim.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 75 linessrc/ extractData.m - TRN_MGB_celltypespecific
-main.zip/ , MATLAB, 95 linessrc/ simParams.m - Rolon_Martinez_2024-main
.zip/ , Text, 21 linesREADME.md - TRN_MGB_celltypespecific
-main.zip/ , Text, 43 linesREADME.md
The paper's code and data availability statement is in the Data section.
Tracing map
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Data
Datasets cited
- doi:10.5061/
dryad.f7m0cfzb1 , at Dryad; found in “Data Availability”
Data Availability
Source data has been deposited in Dryad: https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 30 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 14 MeSH terms, 4 funders, 87 references, 9 RRIDs.
Cite
This paper
Rolón-Martínez, S., Mendoza, A. J., Angeloni, C. F., Vogler, N. W., Drotos, A. C., Aizenberg, M., Chen, R., Vu, K., Haas, J. S., & Geffen, M. N. (2026). Thalamic reticular neurons provide cell type-specific modulation of sound processing in the auditory thalamus. PLoS biology, 24(3), e3003693. https://
BibTeX
@article{rolonmartinez20
author = {Rolón-Martínez, Solymar and Mendoza, Austin J and Angeloni, Christopher F and Vogler, Nathan W and Drotos, Audrey C and Aizenberg, Mark and Chen, Ruoyi and Vu, Kaylie and Haas, Julie S and Geffen, Maria N},
title = {{Thalamic reticular neurons provide cell type-specific modulation of sound processing in the auditory thalamus}},
journal = {PLoS biology},
year = {2026},
month = mar,
volume = {24},
number = {3},
pages = {e3003693},
publisher = {PLOS},
issn = {1544-9173},
doi = {10.1371/
url = {https://
pmid = {41818303},
pmcid = {PMC12998953}
}
RIS
TY - JOUR
AU - Rolón-Martínez, Solymar
AU - Mendoza, Austin J
AU - Angeloni, Christopher F
AU - Vogler, Nathan W
AU - Drotos, Audrey C
AU - Aizenberg, Mark
AU - Chen, Ruoyi
AU - Vu, Kaylie
AU - Haas, Julie S
AU - Geffen, Maria N
TI - Thalamic reticular neurons provide cell type-specific modulation of sound processing in the auditory thalamus
T2 - PLoS biology
J2 - PLoS Biol
PY - 2026
DA - 2026/
VL - 24
IS - 3
SP - e3003693
SN - 1544-9173
PB - PLOS
DO - 10.1371/
UR - https://
LA - en
ER -
CSL-JSON
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"container-title": "PLoS biology",
"author": [
{
"family": "Rolón-Martínez",
"given": "Solymar"
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{
"family": "Mendoza",
"given": "Austin J"
},
{
"family": "Angeloni",
"given": "Christopher F"
},
{
"family": "Vogler",
"given": "Nathan W"
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{
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"given": "Audrey C"
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{
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},
{
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{
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"given": "Julie S"
},
{
"family": "Geffen",
"given": "Maria N"
}
],
"container-title-short":
"volume": "24",
"issue": "3",
"page": "e3003693",
"DOI": "10.1371/
"PMID": "41818303",
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"ISSN": "1544-9173",
"publisher": "PLOS",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
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]
}
}
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The map's fingerprint: sha256:e4e85543d66edf72…
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