Near optimal encoding of numerosity in typical and dyscalculic development.


Journal

Cortex; a journal devoted to the study of the nervous system and behavior
ISSN: 1973-8102
Titre abrégé: Cortex
Pays: Italy
ID NLM: 0100725

Informations de publication

Date de publication:
11 2019
Historique:
received: 29 01 2019
revised: 15 06 2019
accepted: 13 07 2019
pubmed: 15 9 2019
medline: 31 10 2020
entrez: 15 9 2019
Statut: ppublish

Résumé

Dyscalculia is often associated with poor numerosity sensitivity. However, it is not known whether the perceptual systems of dyscalculics have implicit access to the sensory noise of numerosity judgements, and whether their perceptual systems take the noise levels into account in optimizing their perception. We tackled this question by measuring central tendency and serial dependence with a numberline task on dyscalculics and math-typical preadolescents. Numerosity thresholds were also measured with a separate 2AFC discrimination task. Our data confirmed that dyscalculics had poorer numerosity sensitivity and less accurate numberline mapping. Importantly, numberline responses, as well as central tendency and serial dependence strengths, were well predicted by sensory thresholds and could be modelled by a performance-optimizing Bayesian model based on sensory thresholds, suggesting that the functional architecture of systems encoding numerosity in dyscalculia is preserved. We speculate that the numerosity system of dyscalculics has retained those perceptual strategies that are useful to cope with and compensate for low sensory resolution.

Identifiants

pubmed: 31520845
pii: S0010-9452(19)30265-5
doi: 10.1016/j.cortex.2019.07.009
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

498-508

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Giovanni Anobile (G)

Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.

David C Burr (DC)

Institute of Neuroscience, National Research Council, Pisa, Italy; Department of Neuroscience, Psychology, Pharmacology and Child Health, University of Florence, Florence, Italy. Electronic address: davidcharles.burr@unifi.it.

Filippo Gasperini (F)

Department of Developmental Neuroscience, IRCCS Stella Maris Foundation, Pisa, Italy.

Guido Marco Cicchini (GM)

Institute of Neuroscience, National Research Council, Pisa, Italy.

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Classifications MeSH