Evidence map›Paper›PMID 39172655›Full record

ArticleeLife2024

Task-specific invariant representation in auditory cortex.

Charles R Heller, Gregory R Hamersky, Stephen V David

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Reduced Neural Responses to Natural Foreground versus Background Sounds in the Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Article
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.

Charles R HellerNeuroscience Graduate Program, Oregon Health and Science University, Portland, United States.ORCID https://orcid.org/0000-0002-9048-1201
Gregory R HamerskyNeuroscience Graduate Program, Oregon Health and Science University, Portland, United States.
Stephen V DavidOtolaryngology, Oregon Health & Science University, Portland, United States.ORCID https://orcid.org/0000-0003-4135-3104

Funding

RULE-LEARNING PROBLEMS IN LANGUAGE-IMPAIRED CHILDRENR01DC000495 · NIDCD · INDIANA UNIVERSITY BLOOMINGTON · PI CONNELL, PHIL J · 1989 to 1995
–
National Science Foundation GVPRS0015A2NIH HHS DC0495
6 · The paper itself

Abstract

Categorical sensory representations are critical for many behaviors, including speech perception. In the auditory system, categorical information is thought to arise hierarchically, becoming increasingly prominent in higher-order cortical regions. The neural mechanisms that support this robust and flexible computation remain poorly understood. Here, we studied sound representations in the ferret primary and non-primary auditory cortex while animals engaged in a challenging sound discrimination task. Population-level decoding of simultaneously recorded single neurons revealed that task engagement caused categorical sound representations to emerge in non-primary auditory cortex. In primary auditory cortex, task engagement caused a general enhancement of sound decoding that was not specific to task-relevant categories. These findings are consistent with mixed selectivity models of neural disentanglement, in which early sensory regions build an overcomplete representation of the world and allow neurons in downstream brain regions to flexibly and selectively read out behaviorally relevant, categorical information.

Indexed as

Auditory CortexAuditory PerceptionFerretsAcoustic StimulationAnimalsNeuronsauditory cortexbehaviorneurosciencepopulation coding

Identifiers

PMID39172655
PMCPMC11341091

What OpenQuestion holds

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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.