Evidence map›Paper›PMID 41000847›Full record

ArticlebioRxiv : the preprint server for biology2025

ALM enables contextual decision-making via dynamic reconfiguration of local circuits.

Jia Shen, Nuttida Rungratsameetaweemana, Prayshita Sharma, Darcy S Peterka, Herbert Zheng Wu, Michael N Shadlen

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

6 authors.

Jia ShenMortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
Nuttida RungratsameetaweemanaDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Prayshita SharmaPhD Program in Computational Neuroscience, University of Chicago, Chicago, IL, USA.
Darcy S PeterkaMortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.
Herbert Zheng WuDepartment of Neuroscience, Friedman Brain Institute, and Black Family Stem Cell institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-7257-5925
Michael N ShadlenMortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA.

Funding

Molecular and functional architecture of a premotor circuit for decision makingR01MH133039 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Zheng Herbert Wu · 2023 to 2026
$2.7M
Computational and circuit mechanisms of decision makingR01NS113113 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHADLEN, MICHAEL NEIL · 2019 to 2023
$2.2M
Uncovering the neural architecture underlying decisions abstracted from movementsR01MH122513 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BICKEL, STEPHAN, KELLY, SIMON · 2020 to 2024
$1.9M
Unraveling the neural mechanism underlying context-dependent decision makingF32DA060751 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Jia Shen · 2024 to 2026
$252k
NIDA NIH HHS F32 DA060751NIMH NIH HHS R01 MH122513NIMH NIH HHS R01 MH133039NINDS NIH HHS R01 NS113113
6 · The paper itself

Abstract

Cognitive operations often require flexible implementation of stimulus-response contingencies, depending on context. We developed an olfactory task in which mice learned to associate a test odor with a directional lick response, conditional on a preceding context odor drawn from a different odor set. Two-photon imaging revealed that anterior lateral motor cortex (ALM) contains distinct populations encoding context, test odors, and choice. Optogenetic silencing during the context and delay periods impaired performance, suggesting that ALM contributes to configuring the appropriate contingency. Although context odors that instructed the same mapping were represented by separate populations, their influence converged at the level of choice-selective neurons. A subpopulation of these neurons exhibited dual selectivity for context and choice, forming what we term "contingency neurons." These findings suggest that ALM supports flexible behavior not by abstracting over context cues, but by dynamically reconfiguring local circuits to route sensory input to the appropriate motor output.

Identifiers

PMID41000847
PMCPMC12458403

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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.