Evidence map›Paper›PMID 30969167›Full record

ArticleeLife2019

State-dependent geometry of population activity in rat auditory cortex.

Dmitry Kobak, Jose L Pardo-Vazquez, Mafalda Valente, Christian K Machens, Alfonso Renart

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Visual field map size constrains working memory precision.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Sharp Waves, Bursts, and Coherence: Activity in a Songbird Vocal Circuit Is Influenced by Behavioral State.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  4. Article
  5. A neural manifold view of the brain.Nature neuroscience · 2025
    Review
  6. Linking neural population formatting to function.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Aligning latent representations of neural activity.Nature biomedical engineering · 2023
    Article
  13. Hierarchical unimodal processing within the primary somatosensory cortex during a bimodal detection task.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. An abstract categorical decision code in dorsal premotor cortex.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Review
  16. 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

5 authors.

Dmitry Kobak *Champalimaud Center for the Unknown, Lisbon, Portugal.ORCID 0000-0002-5639-7209
Jose L Pardo-Vazquez *Champalimaud Center for the Unknown, Lisbon, Portugal.ORCID 0000-0003-4623-2440
Mafalda ValenteChampalimaud Center for the Unknown, Lisbon, Portugal.ORCID 0000-0002-1824-0462
Christian K MachensChampalimaud Center for the Unknown, Lisbon, Portugal.ORCID 0000-0003-1717-1562
Alfonso RenartChampalimaud Center for the Unknown, Lisbon, Portugal.ORCID 0000-0001-7916-9930

Funding

Computational and Circuit Mechanisms for information transmission in the brainU01NS094288 · NINDS · COLD SPRING HARBOR LABORATORY · PI EDEN, URI TZVI, FRANK, LOREN M · 2015 to 2018
$3.7M
NIH HHS U01 NS094288NINDS NIH HHS U01 NS094288
6 · The paper itself

Abstract

The accuracy of the neural code depends on the relative embedding of signal and noise in the activity of neural populations. Despite a wealth of theoretical work on population codes, there are few empirical characterizations of the high-dimensional signal and noise subspaces. We studied the geometry of population codes in the rat auditory cortex across brain states along the activation-inactivation continuum, using sounds varying in difference and mean level across the ears. As the cortex becomes more activated, single-hemisphere populations go from preferring contralateral loud sounds to a symmetric preference across lateralizations and intensities, gain-modulation effectively disappears, and the signal and noise subspaces become approximately orthogonal to each other and to the direction corresponding to global activity modulations. Level-invariant decoding of sound lateralization also becomes possible in the active state. Our results provide an empirical foundation for the geometry and state-dependence of cortical population codes.

Indexed as

Auditory PerceptionAcoustic StimulationAnimalsAuditory CortexRatsauditory cortexcortical stateneurosciencepopulation activityrat

Identifiers

PMID30969167
PMCPMC6491041

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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.