Evidence map›Paper›PMID 36049112›Full record

ReviewPhysiological reviews2023

Adaptation in auditory processing.

Ben D B Willmore, Andrew J King

Abstract readReview
In one paragraph

Review in Physiological reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Brain Network Dynamics of Local and Global Predictive Processing in Aging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  9. A deep learning framework for understanding cochlear implants.bioRxiv : the preprint server for biology · 2025
    Article
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  15. Contrastive adaptation effects along a voice-nonvoice continuum.Journal of experimental psychology. General · 2025
    Article
  16. Review
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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.

Ben D B WillmoreDepartment of Physiology, Anatomy and Genetics, https://ror.org/052gg0110University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-2969-7572
Andrew J KingDepartment of Physiology, Anatomy and Genetics, https://ror.org/052gg0110University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-5180-7179

Funding

Wellcome Trust WT108369/Z/2015/Z
6 · The paper itself

Abstract

Adaptation is an essential feature of auditory neurons, which reduces their responses to unchanging and recurring sounds and allows their response properties to be matched to the constantly changing statistics of sounds that reach the ears. As a consequence, processing in the auditory system highlights novel or unpredictable sounds and produces an efficient representation of the vast range of sounds that animals can perceive by continually adjusting the sensitivity and, to a lesser extent, the tuning properties of neurons to the most commonly encountered stimulus values. Together with attentional modulation, adaptation to sound statistics also helps to generate neural representations of sound that are tolerant to background noise and therefore plays a vital role in auditory scene analysis. In this review, we consider the diverse forms of adaptation that are found in the auditory system in terms of the processing levels at which they arise, the underlying neural mechanisms, and their impact on neural coding and perception. We also ask what the dynamics of adaptation, which can occur over multiple timescales, reveal about the statistical properties of the environment. Finally, we examine how adaptation to sound statistics is influenced by learning and experience and changes as a result of aging and hearing loss.

Indexed as

Auditory CortexAcoustic StimulationAdaptation, PhysiologicalAnimalsAuditory PerceptionNoiseadaptationadaptive codingauditorycortexsound statistics

Identifiers

PMID36049112
PMCPMC9829473

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.