Evidence map›Paper›PMID 42647651›Full record

ArticleScience advances2026

A cortical output channel for perceptual categorization.

Nathan A Schneider, Michael I Malina, Ross S Williamson

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Nathan A SchneiderDepartment of Otolaryngology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-9145-5427
Michael I MalinaCenter for the Neural Basis of Cognition, Pittsburgh, PA, USA.ORCID 0009-0005-8284-1149
Ross S WilliamsonDepartment of Otolaryngology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-5633-7337

Funding

Predoctorial Training in Basic NeuroscienceT32NS007433 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MERINEY, STEPHEN D · 1998 to 2022
$8.0M
Extratelencephalic contributions to auditory categorizationR01DC020459 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ross Stewart Williamson · 2022 to 2026
$3.4M
Functional Organization of Auditory Corticofugal CircuitsR21DC018327 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WILLIAMSON, ROSS STEWART · 2019 to 2021
$603k
Learning-induced changes in distinct auditory cortical cell-typesF31DC021363 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SCHNEIDER, NATHAN A · 2023 to 2025
$146k
NIDCD NIH HHS F31 DC021363NIDCD NIH HHS R01 DC020459NIDCD NIH HHS R21 DC018327NINDS NIH HHS T32 NS007433
6 · The paper itself

Abstract

Perceptual categorization transforms graded sensory inputs into discrete representations that support decision-making. While the auditory cortex is causally important for this process, a specific circuit location where continuous physical inputs are transformed into discrete decision variables remains unknown. Here, we address this by performing longitudinal two-photon imaging of layer 5 (L5) extratelencephalic (ET) neurons alongside L2/3 and L5 intratelencephalic (IT) populations in mice learning a categorization task. With learning, L5 ET neurons underwent pronounced tuning shifts and developed robust categorical responses, whereas L2/3 and L5 IT neurons did not. This transformation is not merely an intrinsic feature of the cell type but is dynamically controlled by task engagement, emerging only during active decision-making. Using a generalized linear model, we confirmed that categorical selectivity in L5 ET neurons reflects genuine sensory encoding rather than being a by-product of choice-driven activity. These findings identify L5 ET neurons as a cortical output channel to categorize stimuli into a decision variable to guide actions.

Indexed as

Auditory CortexAuditory PerceptionNeuronsAnimalsDecision MakingLearningMice

Identifiers

PMID42647651
PMCPMC13510698

What OpenQuestion holds

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Registered trials

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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.