Evidence map›Paper›PMID 38152461›Full record

ArticleCurrent research in neurobiology2024

A sparse code for natural sound context in auditory cortex.

Mateo López Espejo, Stephen V David

Abstract read
In one paragraph

Article in Current research in neurobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Cortical deviance detection represents a canonical difference signal.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. A hierarchy of processing complexity and timescales for natural sounds in the human auditory cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. 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
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

2 authors.

Mateo López EspejoNeuroscience Graduate Program, Oregon Health & Science University, Portland, OR, USA.
Stephen V DavidOtolaryngology, Oregon Health & Science University, Portland, OR, USA.

Funding

Top-down control of auditory processing in the cortico-collicular network (Administrative Supplement)R01DC014950 · NIDCD · OREGON HEALTH & SCIENCE UNIVERSITY · PI DAVID, STEPHEN V · 2016 to 2025
$3.5M
Tools for modeling state-dependent sensory encoding by neural populations across spatial and temporal scalesR01EB028155 · NIBIB · OREGON HEALTH & SCIENCE UNIVERSITY · PI DAVID, STEPHEN V, MESGARANI, NIMA · 2019 to 2023
$1.2M
NIBIB NIH HHS R01 EB028155NIDCD NIH HHS R01 DC014950
6 · The paper itself

Abstract

Accurate sound perception can require integrating information over hundreds of milliseconds or even seconds. Spectro-temporal models of sound coding by single neurons in auditory cortex indicate that the majority of sound-evoked activity can be attributed to stimuli with a few tens of milliseconds. It remains uncertain how the auditory system integrates information about sensory context on a longer timescale. Here we characterized long-lasting contextual effects in auditory cortex (AC) using a diverse set of natural sound stimuli. We measured context effects as the difference in a neuron's response to a single probe sound following two different context sounds. Many AC neurons showed context effects lasting longer than the temporal window of a traditional spectro-temporal receptive field. The duration and magnitude of context effects varied substantially across neurons and stimuli. This diversity of context effects formed a sparse code across the neural population that encoded a wider range of contexts than any constituent neuron. Encoding model analysis indicates that context effects can be explained by activity in the local neural population, suggesting that recurrent local circuits support a long-lasting representation of sensory context in auditory cortex.

Identifiers

PMID38152461
PMCPMC10749876

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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.