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Multi-stable oscillations in cortical networks with two classes of inhibition.

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Paper

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The authors' code

Python · 170 lines · 4.5 KB · no license

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Overview

  1. Department of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
Institutions: University of Pittsburgh (United States)
Journal: PLoS computational biology, volume 22, issue 6, article e1014391
Dates: received 7 October 2025; accepted 2 June 2026; published online 9 June 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1371/journal.pcbi.1014391 · PMID 42263113 · PMCID PMC13298994 · OpenAlex W4417322451
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: none (in silico) (organism)
Methods: Single-unit activity, calcium imaging
MeSH: Cerebral Cortex*, Models, Neurological*, Nerve Net*, Neural Inhibition*, Action Potentials, Animals, Computer Simulation, Interneurons, Pyramidal Cells, Somatostatin, Vasoactive Intestinal Peptide (* major topic)
Journal subjects: Biology and Life Sciences, Cell Biology, Cellular Types, Animal Cells, Neurons, Neuroscience, Cellular Neuroscience, Interneurons, Computer and Information Sciences, Neural Networks, Physiology, Electrophysiology, Membrane Potential, Action Potentials, Neurophysiology, Psychology, Behavior, Social Sciences, Neuronal Dendrites, Network Analysis, Engineering and Technology, Electrical Engineering, Electrical Circuits
Topic: Neural dynamics and brain function (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 36 references in the paper

Abstract

In the classical view of cortical rhythms, interactions between excitatory pyramidal neurons (E) and inhibitory parvalbumin-expressing interneurons (I) are sufficient to generate gamma- and beta-band oscillations. However, it is now well established that multiple inhibitory interneuron subtypes exist and that they play important roles in the generation and modulation of these rhythms. In this paper, we develop a spiking network model consisting of populations of E, I, and an additional interneuron type, somatostatin-expressing neurons (S), which receive excitation from the E cells and inhibit both the E and I populations. The S cells are further modulated by a third inhibitory subtype, vasoactive intestinal peptide (VIP) neurons, which receive inputs from other cortical areas. We reduce the spiking network to a system of nine differential equations that describe the mean membrane potential, firing rate, and synaptic conductance for each population. Using this reduced model, we identify a wide range of parameters that exhibit multiple coexisting rhythms. Employing tools from nonlinear dynamics, we then explore the roles of the two classes of inhibition, as well as VIP modulation, in shaping the properties of these rhythms.

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

Repository

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

Arnabds/Comp-Neuro-Research-Project-1--Multi-stable-oscillations-in-cortical-networks-with-two-classes

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 9649bb15f463465640ed526c71bb35cb9d7b47ec, 27 October 2025
Languages: Jupyter (4), Python (1)
Size: 69 files, 5 scripts
Software Heritage: not archived
Found in: “Data Availability”
Holds: README, continuous integration, 4 notebooks
Not found: license file, CITATION.cff, environment file, tests, documentation
Tools: Matplotlib (5 files), NumPy (5 files), pandas (4 files), SciPy (4 files), scikit-learn (1 file), seaborn (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
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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;
  • 5 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 codes will be available on GitHub (https://github.com/Arnabds/Comp-Neuro-Research-Project-1--Multi-stable-oscillations-in-cortical-networks-with-two-classes).

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

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 2 authors, 11 MeSH terms, 33 references.

Cite

This paper

Dey Sarkar, A., & Ermentrout, B. (2026). Multi-stable oscillations in cortical networks with two classes of inhibition. PLoS computational biology, 22(6), e1014391. https://doi.org/10.1371/journal.pcbi.1014391

BibTeX

@article{deysarkar2026multi,
author = {Dey Sarkar, Arnab and Ermentrout, Bard},
title = {{Multi-stable oscillations in cortical networks with two classes of inhibition}},
journal = {PLoS computational biology},
year = {2026},
month = jun,
volume = {22},
number = {6},
pages = {e1014391},
publisher = {PLOS},
issn = {1553-734X},
doi = {10.1371/journal.pcbi.1014391},
url = {https://doi.org/10.1371/journal.pcbi.1014391},
pmid = {42263113},
pmcid = {PMC13298994}
}

RIS

TY - JOUR
AU - Dey Sarkar, Arnab
AU - Ermentrout, Bard
TI - Multi-stable oscillations in cortical networks with two classes of inhibition
T2 - PLoS computational biology
J2 - PLoS Comput Biol
PY - 2026
DA - 2026/06/09
VL - 22
IS - 6
SP - e1014391
SN - 1553-734X
PB - PLOS
DO - 10.1371/journal.pcbi.1014391
UR - https://doi.org/10.1371/journal.pcbi.1014391
LA - en
ER -

CSL-JSON

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