Population Coupling of V1 and V4 Neurons and Its Relation to Local Cortical State Fluctuations and Attention in Macaque Monkey.
The 1 match · it ties a paragraph to a whole file, not to given lines: a weak match, whose lines are not tinted
- [1] § Materials and Methods › Population coupling computation ↔ Scripts/design_gauss_kernel.m, the whole file · a weak match · score 0.55 · Gaussian kernel, half width
Paper
Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC
The paper is loaded when this pane is shown.
The authors' code
MATLAB · 30 lines · 808 B · no license · 1 match
- function [Gauss_KERNEL] = design_gauss_kernel(Centre, Half_width, Amplitude, Baseline)
- %% Designing a gaussian kernel of half width 12ms
- gaus = @(x,mu,sig,amp,vo)amp*exp(-(((x-mu).^2)/(2*sig.^2)))+vo;
- mu = Centre;
- HWHH = Half_width; % Half width half height
- FWHH = HWHH*2; % Full width half height
- sig = FWHH / 2.35;
- x = linspace(-3*sig,3*sig,round((3*sig-(-3*sig))/0.001));
- amp = Amplitude;
- vo = Baseline;
- Gauss_KERNEL = gaus(x,mu,sig,amp,vo);
- % Plot gaussian
- % figure
- % plot(x, Gauss_KERNEL, 'b-', 'LineWidth',4, 'DisplayName','Custom function')
- % hold on
- % y2 = gaussmf(x,[sig,mu]);
- % plot(x, y2, 'r--', 'LineWidth',2, 'DisplayName','gaussmf()')
- % title(sprintf('Guassian with \\mu=%.1f \\sigma=%.3f amp=%.1f vo=%.1f', ...
- % mu, sig, amp, vo))
- % legend()
- % xlabel('N')
- % ylabel('Amplitude')
- end
design_gauss_kernel.m at commit a59e017, no license · at the source
Overview
Abstract
Neurons couple to various degrees to the activity level of the local neighboring population whereby strongly coupled “choristers” and weakly coupled “soloists” have been identified as two extremes of a continuous spectrum. At the same time neuronal populations undergo coordinated ON and OFF cortical state activity fluctuations, which are locally modulated by attention. The population coupling of soloists and choristers suggests that soloists should show limited alignment with cortical state fluctuations, while choristers should exhibit profound alignment. To test this, we recorded neurons across cortical layers in macaque areas V1 and V4 (n = 2 males), while animals performed a feature-based spatial attention task. As expected, we found a wide range of population coupling strength of neurons. In line with our prediction, coupling of choristers to cortical state changes (ON-OFF transitions) was generally stronger than that of soloists. The strength of population coupling of neurons was similar during spontaneous and stimulus-driven activity. Allocation of attention to the receptive field reduced the population coupling strength. Attentional modulation of neurons was positively correlated with population coupling strength. While neurons on average retained their coupling strengths across conditions, some neurons change coupling strength condition dependent, thereby potentially enhancing the coding abilities of cortical circuits.
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 1 match between paragraphs and lines of code.
nmd174/md-soloists-and-choristers
a59e0176e87d4c1ff274792c18e0ae4a93d19b93, 21 January 2026Availability: 1 check, the latest on 28 September 2026: the link answers
- 28 September 2026: the link answers
11 files
- Scripts/
Attention_modulation.m , MATLAB, 401 lines - Scripts/
Firringrate_ON_OFF_phase , MATLAB, 420 liness_CueAlign.m - Scripts/
Firringrate_ON_OFF_phase , MATLAB, 391 liness_FixAlign.m - Scripts/
Noise_correlation_analys , MATLAB, 447 linesis.m - Scripts/
PC_CueAligned.m , MATLAB, 491 lines - Scripts/
PC_CueAligned_near_chann , MATLAB, 509 linesels_excluding.m - Scripts/
PC_FixAligned.m , MATLAB, 475 lines - Scripts/
PC_FixAligned_near_chann , MATLAB, 493 linesels_excluding.m - Scripts/
SUAs_StimAligned.m , MATLAB, 482 lines - Scripts/
design_gauss_kernel.m , MATLAB, 30 lines, 1 match - README.md, Text, 14 lines
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;
- 10 scripts, each with its path and the digest of its content;
- 1 match between paragraphs of the paper and lines of the code (method lexical-v1);
- 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
Datasets cited
- gin.g-node.org/
mahyar-doost/ , at gin.g-node.org; found in “Data Availability”md-soloists-and-choriste rs-data - gitlab.com/
jvk/ , at gitlab.com; found in the text, “Hidden Markov model and ON-OFF state estimation”cortical-statecoordinati on
Data Availability
The data relevant for the manuscript have been uploaded to https://
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 2, 28 September 2026
- Authors: added Jochem van Kempen (0000-0002-0211-9545); removed Jochem van Kempen
Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 3 keywords, 9 MeSH terms, 4 funders, 43 references.
Cite
This paper
Doost, M., van Kempen, J., Boyd, M., & Thiele, A. (2026). Population Coupling of V1 and V4 Neurons and Its Relation to Local Cortical State Fluctuations and Attention in Macaque Monkey. eNeuro, 13(5), ENEURO.0091-26.2026. https://
BibTeX
@article{doost2026popula
author = {Doost, Mahyar and van Kempen, Jochem and Boyd, Michael and Thiele, Alexander},
title = {{Population Coupling of V1 and V4 Neurons and Its Relation to Local Cortical State Fluctuations and Attention in Macaque Monkey}},
journal = {eNeuro},
year = {2026},
month = may,
volume = {13},
number = {5},
pages = {ENEURO.0091--26.2026},
publisher = {Society for Neuroscience},
issn = {2373-2822},
doi = {10.1523/
url = {https://
pmid = {42009576},
pmcid = {PMC13171287}
}
RIS
TY - JOUR
AU - Doost, Mahyar
AU - van Kempen, Jochem
AU - Boyd, Michael
AU - Thiele, Alexander
TI - Population Coupling of V1 and V4 Neurons and Its Relation to Local Cortical State Fluctuations and Attention in Macaque Monkey
T2 - eNeuro
J2 - eNeuro
PY - 2026
DA - 2026/
VL - 13
IS - 5
SP - ENEURO.0091
EP - 26.2026
SN - 2373-2822
PB - Society for Neuroscience
DO - 10.1523/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.1523/
"type": "article-journal",
"title": "Population Coupling of V1 and V4 Neurons and Its Relation to Local Cortical State Fluctuations and Attention in Macaque Monkey",
"container-title": "eNeuro",
"author": [
{
"family": "Doost",
"given": "Mahyar"
},
{
"family": "van Kempen",
"given": "Jochem"
},
{
"family": "Boyd",
"given": "Michael"
},
{
"family": "Thiele",
"given": "Alexander"
}
],
"container-title-short":
"volume": "13",
"issue": "5",
"page": "ENEURO.0091-26.2026",
"DOI": "10.1523/
"PMID": "42009576",
"PMCID": "PMC13171287",
"ISSN": "2373-2822",
"publisher": "Society for Neuroscience",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
5,
13
]
]
}
}
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:10.1038/s41467-026-71725-0 [code]
- Interactions across hemispheres in prefrontal cortex reflect global cognitive processing.Journal: Nature communicationsIn common: Signal Processing Toolbox, Statistics and Machine Learning Toolbox, non-human primate, 3 references
- [2] doi:10.1038/s41467-026-75347-4 [code]
- Sleep reveals dynamics integrating and segregating movement and stimulus representations in V1.Journal: Nature communicationsIn common: Signal Processing Toolbox, Statistics and Machine Learning Toolbox, 3 references
- [3] doi:10.1371/journal.pbio.3003916 [code]
- Arousal-driven critical roaming reproduces human functional connectivity dynamics.Journal: PLoS biologyIn common: Signal Processing Toolbox, Statistics and Machine Learning Toolbox, 3 references
- [4] doi:10.7554/elife.108408 [code]
- Frequency and laminar profile of feature-specific visual activity revealed by interleaved EEG-fMRI.Journal: eLifeIn common: Signal Processing Toolbox, Statistics and Machine Learning Toolbox, 2 references
- [5] doi:10.1126/sciadv.adz6495
- Pupil-linked arousal heterogeneously modulates cell-type-specific sensory processing.Journal: Science advancesIn common: 4 references
- [6] doi:10.1038/s41467-026-73106-z [code]
- Respiratory pauses highlight sleep architecture in mice.Journal: Nature communicationsIn common: Signal Processing Toolbox, Statistics and Machine Learning Toolbox, 2 references
- [7] doi:10.1038/s41467-026-75492-w [code]
- Place and behavioral modulation of hippocampal neurons during immobility.Journal: Nature communicationsIn common: Signal Processing Toolbox, Statistics and Machine Learning Toolbox, 2 references
- [8] doi:10.1038/s41467-026-74818-y [code]
- Stable readout of visual representations mediates flexible generalization.Journal: Nature communicationsIn common: Statistics and Machine Learning Toolbox, non-human primate, 2 references
- [9] doi:10.1371/journal.pbio.3003749
- Somatosensory input drives membrane potential dynamics in motor cortex during voluntary limb movement.Journal: PLoS biologyIn common: 3 references
- [10] doi:10.1371/journal.pcbi.1014673 [code]
- Modeling the influences of non-local connectomic projections on geometrically constrained cortical dynamics.Journal: PLoS computational biologyIn common: Statistics and Machine Learning Toolbox, 2 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.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Validate its tracing map
You validate the map as this page shows it: 1 repository of the authors' code, each at its verified commit and with its license, 10 scripts, and 1 match between paragraphs and code (see the Code and Map sections). It then receives a DOI on Zenodo, with you (your ORCID iD) and OSCR as its creators; the code itself is not deposited.
The map's fingerprint: sha256:89eee92b58cb2ba9…
Add the badge to its README
The badge links the code to this page. Copy one of these into the README of the paper's code: only you decide where it goes, and nothing is changed for you.
Markdown
[.
Discussion, reproductions, activity
Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.
Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.
Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.