Evidence map›Paper›PMID 30044164›Full record

ArticleJournal of neurophysiology2018

Contrast gain control in mouse auditory cortex.

James E Cooke, Andrew J King, Ben D B Willmore, Jan W H Schnupp

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

17 citing papers in PubMed, 36 citations in OpenAlex.

  1. Aging in the Primary Auditory Cortex.Journal of the Association for Research in Otolaryngology : JARO · 2026
    Review
  2. Article
  3. Article
  4. Cortical Zinc Signaling Is Necessary for Changes in Mouse Pupil Diameter That Are Evoked by Background Sounds with Different Contrasts.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  5. Article
  6. Adaptation in auditory processing.Physiological reviews · 2023
    Review
  7. Review
  8. Article
  9. Neuromodulatory Mechanisms Underlying Contrast Gain Control in Mouse Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  10. Listening in complex acoustic scenes.Current opinion in physiology · 2020
    Article
  11. Article
  12. Article
  13. Auditory Selectivity for Spectral Contrast in Cortical Neurons and Behavior.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  14. Article
  15. Multiple Timescales Account for Adaptive Responses across Sensory Cortices.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  16. Article
  17. 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

4 authors at 3 institutions in 2 countries.

James E CookeDepartment of Physiology, Anatomy and Genetics, University of Oxford , Oxford , United Kingdom.
Andrew J KingDepartment of Physiology, Anatomy and Genetics, University of Oxford , Oxford , United Kingdom.
Ben D B WillmoreDepartment of Physiology, Anatomy and Genetics, University of Oxford , Oxford , United Kingdom.
Jan W H SchnuppDepartment of Physiology, Anatomy and Genetics, University of Oxford , Oxford , United Kingdom.
University of Oxford · GBCity University of Hong Kong · HKUniversity College London · GB

Funding

Wellcome TrustWellcome Trust 096588/Z/11/ZWellcome Trust WT076508AIAWellcome Trust WT108369/Z/2015/Z
6 · The paper itself

Abstract

The neocortex is thought to employ a number of canonical computations, but little is known about whether these computations rely on shared mechanisms across different neural populations. In recent years, the mouse has emerged as a powerful model organism for the dissection of the circuits and mechanisms underlying various aspects of neural processing and therefore provides an important avenue for research into putative canonical computations. One such computation is contrast gain control, the systematic adjustment of neural gain in accordance with the contrast of sensory input, which helps to construct neural representations that are robust to the presence of background stimuli. Here, we characterized contrast gain control in the mouse auditory cortex. We performed laminar extracellular recordings in the auditory cortex of the anesthetized mouse while varying the contrast of the sensory input. We observed that an increase in stimulus contrast resulted in a compensatory reduction in the gain of neural responses, leading to representations in the mouse auditory cortex that are largely contrast invariant. Contrast gain control was present in all cortical layers but was found to be strongest in deep layers, indicating that intracortical mechanisms may contribute to these gain changes. These results lay a foundation for investigations into the mechanisms underlying contrast adaptation in the mouse auditory cortex. NEW & NOTEWORTHY We investigated whether contrast gain control, the systematic reduction in neural gain in response to an increase in sensory contrast, exists in the mouse auditory cortex. We performed extracellular recordings in the mouse auditory cortex while presenting sensory stimuli with varying contrasts and found this form of processing was widespread. This finding provides evidence that contrast gain control may represent a canonical cortical computation and lays a foundation for investigations into the underlying mechanisms.

Indexed as

Auditory PerceptionAnimalsAuditory CortexEvoked Potentials, AuditoryExtracellular SpaceMiceMice, Inbred C57BLNeuronsauditory cortexcontrastgain controlmousespectrotemporal receptive field

Identifiers

PMID30044164
PMCPMC6230796
OpenAlexW2884527063

What OpenQuestion holds

Textmetadata
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.