Evidence map›Paper›PMID 42391203›Full record

ArticlePLoS biology2026

Disinhibitory signaling enables flexible coding of top-down information in cortical networks.

Tomas G Aquino, Robert Kim, Nuttida Rungratsameetaweemana

Abstract read
In one paragraph

Article in PLoS biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Tomas G AquinoDepartment of Biomedical Engineering, Columbia University, New York, New York, United States of America.
Robert KimDepartment of Neurology, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.ORCID https://orcid.org/0000-0003-1988-5294
Nuttida RungratsameetaweemanaDepartment of Biomedical Engineering, Columbia University, New York, New York, United States of America.ORCID https://orcid.org/0000-0002-4599-450X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flexible behavior requires the ability to modulate sensory processing based on task context, yet the circuit-level mechanisms supporting this capacity remain poorly understood. Here, we combine recurrent neural network modeling and neural recordings from mouse visual cortex to investigate how task context shapes sensory coding. Networks trained on an instruction-based discrimination task develop a disinhibitory interneuron-to-interneuron motif that dynamically gates task-relevant sensory information. Perturbation and lesion analyses show that this motif is necessary for task performance and for maintaining distinct sensory representations across contexts. We validate key predictions in mouse visual cortex, where interneuron activity patterns exhibit comparable task-dependent modulation. These results identify a biologically plausible circuit motif that supports flexible sensory processing and link recurrent connectivity structure to adaptive context integration in both artificial and biological systems.

Indexed as

Nerve NetVisual CortexAnimalsInterneuronsMiceModels, NeurologicalRecurrent Neural NetworksSignal Transduction

Identifiers

PMID42391203
PMCPMC13327264

What OpenQuestion holds

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LicenceCC BY
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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.