Efficient Neural Coding in Auditory and Speech Perception.

Acoustic Stimulation / methods Animals Auditory Cortex / physiology Auditory Perception / physiology Cochlear Nerve / physiology Humans Speech / physiology Speech Perception / physiology
auditory perception efficient neural coding information theory speech perception

Journal

Trends in neurosciences
ISSN: 1878-108X
Titre abrégé: Trends Neurosci
Pays: England
ID NLM: 7808616

Informations de publication

Date de publication:
01 2019
Historique:
received: 08 05 2018
revised: 06 09 2018
accepted: 10 09 2018
pubmed: 10 10 2018
medline: 9 4 2019
entrez: 10 10 2018
Statut: ppublish

Résumé

Speech has long been recognized as 'special'. Here, we suggest that one of the reasons for speech being special is that our auditory system has evolved to encode it in an efficient, optimal way. The theory of efficient neural coding argues that our perceptual systems have evolved to encode environmental stimuli in the most efficient way. Mathematically, this can be achieved if the optimally efficient codes match the statistics of the signals they represent. Experimental evidence suggests that the auditory code is optimal in this mathematical sense: statistical properties of speech closely match response properties of the cochlea, the auditory nerve, and the auditory cortex. Even more interestingly, these results may be linked to phenomena in auditory and speech perception.

Identifiants

DOI: 10.1016/j.tins.2018.09.004 PMID: 30297085 PMC: PMC6542557
pubmed: 30297085
pii: S0166-2236(18)30246-7
doi: 10.1016/j.tins.2018.09.004
pmc: PMC6542557
mid: NIHMS1023795
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

56-65

Subventions

Organisme : NIDCD NIH HHS
ID : R01 DC014479
Pays : United States
Organisme : NIDCD NIH HHS
ID : R01 DC015527
Pays : United States
Organisme : NIGMS NIH HHS
ID : R25 GM067110
Pays : United States

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

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Auteurs

Judit Gervain (J)

Laboratoire Psychologie de la Perception, Université Paris Descartes, Paris, France; Laboratoire Psychologie de la Perception, CNRS, Paris, France.

Maria N Geffen (MN)

Departments of Otorhinolaryngology, Neuroscience and Neurology, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: mgeffen@pennmedicine.upenn.edu.

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Classifications MeSH

questionsmedicales.fr › Techniques d'investigation › Stimulation physique › Stimulation acoustique › Efficient Neural Coding in Auditory and Speech...
questionsmedicales.fr › Eucaryotes › Animaux › Efficient Neural Coding in Auditory and Speech...
questionsmedicales.fr › Système nerveux › Système nerveux central › Encéphale › Prosencéphale › Télencéphale › Cerveau › Cortex cérébral › Lobe temporal › Cortex auditif › Efficient Neural Coding in Auditory and Speech...
questionsmedicales.fr › Phénomènes physiologiques › Phénomènes physiologiques vestibulocochléaires › Perception auditive › Efficient Neural Coding in Auditory and Speech...
questionsmedicales.fr › Système nerveux › Système nerveux périphérique › Nerfs périphériques › Nerfs crâniens › Nerf vestibulocochléaire › Nerf cochléaire › Efficient Neural Coding in Auditory and Speech...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Efficient Neural Coding in Auditory and Speech...
questionsmedicales.fr › Sciences de l'information › Langage › Arts du langage › Parole › Efficient Neural Coding in Auditory and Speech...
questionsmedicales.fr › Phénomènes physiologiques › Phénomènes physiologiques vestibulocochléaires › Perception auditive › Perception de la parole › Efficient Neural Coding in Auditory and Speech...