Neural coding of numerousness.


Journal

Bio Systems
ISSN: 1872-8324
Titre abrégé: Biosystems
Pays: Ireland
ID NLM: 0430773

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 29 06 2023
revised: 08 08 2023
accepted: 10 08 2023
medline: 14 9 2023
pubmed: 14 8 2023
entrez: 13 8 2023
Statut: ppublish

Résumé

Perception of numerousness, i.e. number of items in a set, is an important cognitive ability, which is present in several animal taxa. In spite of obvious differences in neuroanatomy, insects, fishes, reptiles, birds, and mammals all possess a "number sense". Furthermore, information regarding numbers can belong to different sensory modalities: animals can estimate a number of visual items, a number of tones, or a number of their own movements. Given both the heterogeneity of stimuli and of the brains processing these stimuli, it is hard to imagine that number cognition can be traced back to the same evolutionary conserved neural pathway. However, neurons that selectively respond to the number of stimuli have been described in higher-order integration brain centres both in primates and in birds, two evolutionary distant groups. Although most probably not of the same evolutionary origin, these number neurons share remarkable similarities in their response properties. Instead of homology, this similarity might result from computational advantages of the underlying coding mechanism. This means that one might expect numerousness information to undergo similar steps of neural processing even in evolutionary distant neural pathways. Following this logic, in this review we summarize our current knowledge of how numerousness is processed in the brain from sensory input to coding of abstract information in the higher-order integration centres. We also propose a list of key open questions that might promote future research on number cognition.

Identifiants

pubmed: 37574182
pii: S0303-2647(23)00174-0
doi: 10.1016/j.biosystems.2023.104999
pii:
doi:

Types de publication

Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104999

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Dmitry Kobylkov (D)

Centre for Mind/Brain Science, CIMeC, University of Trento, Rovereto, Italy.

Mirko Zanon (M)

Centre for Mind/Brain Science, CIMeC, University of Trento, Rovereto, Italy.

Matilde Perrino (M)

Centre for Mind/Brain Science, CIMeC, University of Trento, Rovereto, Italy.

Giorgio Vallortigara (G)

Centre for Mind/Brain Science, CIMeC, University of Trento, Rovereto, Italy. Electronic address: giorgio.vallortigara@unitn.it.

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Classifications MeSH