Evidence map›Paper›PMID 40304591›Full record

ArticleeLife2025

Untangling stability and gain modulation in cortical circuits with multiple interneuron classes.

Hannah Bos, Christoph Miehl, Anne-Marie Michelle Oswald, Brent Doiron

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

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  13. The mechanics of correlated variability in segregated cortical excitatory subnetworks.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Top-down modulation in canonical cortical circuits with short-term plasticity.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hannah Bos *Department of Mathematics, University of Pittsburgh, Pittsburgh, United States.
Christoph Miehl *Department of Neurobiology, University of Chicago, Chicago, United States.ORCID https://orcid.org/0000-0001-9094-2760
Anne-Marie Michelle OswaldDepartment of Neurobiology, University of Chicago, Chicago, United States.ORCID https://orcid.org/0000-0003-1529-1499
Brent DoironDepartment of Mathematics, University of Pittsburgh, Pittsburgh, United States.ORCID https://orcid.org/0000-0002-6916-5511

Funding

Validating Theoretical Models with Neurophysiology and OptogeneticsU19NS107613 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ADESNIK, HILLEL · 2018 to 2022
$16.7M
Cortical assembly formation through excitatory/inhibitory circuit plasticityRF1NS133598 · NINDS · UNIVERSITY OF CHICAGO · PI DOIRON, BRENT D., OSWALD, ANNE-MARIE MICHELLE · 2023 to 2023
$2.1M
Neuronal population dynamics within and across cortical areasR01EB026953 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOIRON, BRENT D., SMITH, MATTHEW A · 2018 to 2020
$1.0M
CRCNS: Formation of stimulus selective neural assemblies in piriform cortexR01DC015139 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOIRON, BRENT D., OSWALD, ANNE-MARIE MICHELLE · 2015 to 2017
$801k
Cortical assembly formation through excitatory/inhibitory circuit plasticityR01NS133598 · NINDS · UNIVERSITY OF CHICAGO · PI Brent D. Doiron, Anne-Marie Michelle Oswald · 2026 to 2026
$612k
Human Frontier Science Program LT0005/2024-LNIBIB NIH HHS R01 EB026953NIDCD NIH HHS R01 DC015139NIH Blueprint for Neuroscience Research 1U19NS107613NIH Blueprint for Neuroscience Research R01DC015139NIH HHS R01NS133598NINDS NIH HHS R01 NS133598NINDS NIH HHS RF1 NS133598NINDS NIH HHS U19 NS107613Office of Naval Research N00014-18-1-2002Simons Foundation 542967
6 · The paper itself

Abstract

Synaptic inhibition is the mechanistic backbone of a suite of cortical functions, not the least of which are maintaining network stability and modulating neuronal gain. In cortical models with a single inhibitory neuron class, network stabilization and gain control work in opposition to one another - meaning high gain coincides with low stability and vice versa. It is now clear that cortical inhibition is diverse, with molecularly distinguished cell classes having distinct positions within the cortical circuit. We analyze circuit models with pyramidal neurons (E) as well as parvalbumin (PV) and somatostatin (SOM) expressing interneurons. We show how, in E - PV - SOM recurrently connected networks, SOM-mediated modulation can lead to simultaneous increases in neuronal gain and network stability. Our work exposes how the impact of a modulation mediated by SOM neurons depends critically on circuit connectivity and the network state.

Indexed as

Cerebral CortexInterneuronsNerve NetAnimalsModels, NeurologicalNeural InhibitionParvalbuminsPyramidal CellsSomatostatinParvalbuminsSomatostatincomputational modelingE/I networkinhibitory subtypesnetwork dynamicsneurosciencenone

Identifiers

PMID40304591
PMCPMC12043317

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.