Mathematical framework for place coding in the auditory system.
Acoustic Stimulation
Animals
Auditory Cortex
/ physiology
Auditory Pathways
/ physiology
Auditory Perception
/ physiology
Computational Biology
Computer Simulation
Evoked Potentials, Auditory
/ physiology
Humans
Loudness Perception
/ physiology
Models, Neurological
Nerve Net
/ physiology
Neural Networks, Computer
Pitch Perception
/ physiology
Synaptic Transmission
/ physiology
Journal
PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922
Informations de publication
Date de publication:
08 2021
08 2021
Historique:
received:
14
07
2020
accepted:
06
07
2021
revised:
12
08
2021
pubmed:
3
8
2021
medline:
20
11
2021
entrez:
2
8
2021
Statut:
epublish
Résumé
In the auditory system, tonotopy is postulated to be the substrate for a place code, where sound frequency is encoded by the location of the neurons that fire during the stimulus. Though conceptually simple, the computations that allow for the representation of intensity and complex sounds are poorly understood. Here, a mathematical framework is developed in order to define clearly the conditions that support a place code. To accommodate both frequency and intensity information, the neural network is described as a space with elements that represent individual neurons and clusters of neurons. A mapping is then constructed from acoustic space to neural space so that frequency and intensity are encoded, respectively, by the location and size of the clusters. Algebraic operations -addition and multiplication- are derived to elucidate the rules for representing, assembling, and modulating multi-frequency sound in networks. The resulting outcomes of these operations are consistent with network simulations as well as with electrophysiological and psychophysical data. The analyses show how both frequency and intensity can be encoded with a purely place code, without the need for rate or temporal coding schemes. The algebraic operations are used to describe loudness summation and suggest a mechanism for the critical band. The mathematical approach complements experimental and computational approaches and provides a foundation for interpreting data and constructing models.
Identifiants
pubmed: 34339409
doi: 10.1371/journal.pcbi.1009251
pii: PCOMPBIOL-D-20-01254
pmc: PMC8360601
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1009251Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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