Literature DB >> 27640140

Sensory-integration system rather than approximate number system underlies numerosity processing: A critical review.

Titia Gebuis1, Roi Cohen Kadosh2, Wim Gevers3.   

Abstract

It is widely accepted that human and nonhuman species possess a specialized system to process large approximate numerosities. The theory of an evolutionarily ancient approximate number system (ANS) has received converging support from developmental studies, comparative experiments, neuroimaging, and computational modelling, and it is one of the most dominant and influential theories in numerical cognition. The existence of an ANS system is significant, as it is believed to be the building block of numerical development in general. The acuity of the ANS is related to future arithmetic achievements, and intervention strategies therefore aim to improve the ANS. Here we critically review current evidence supporting the existence of an ANS. We show that important shortcomings and confounds exist in the empirical studies on human and non-human animals as well as the logic used to build computational models that support the ANS theory. We conclude that rather than taking the ANS theory for granted, a more comprehensive explanation might be provided by a sensory-integration system that compares or estimates large approximate numerosities by integrating the different sensory cues comprising number stimuli. Crown
Copyright © 2016. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Approximate number system; Brain; Cognitive control; Cognitive development; Evolution; Numerosity; Sensory integration

Mesh:

Year:  2016        PMID: 27640140     DOI: 10.1016/j.actpsy.2016.09.003

Source DB:  PubMed          Journal:  Acta Psychol (Amst)        ISSN: 0001-6918


  38 in total

1.  Understanding the unique contributions of home numeracy, inhibitory control, the approximate number system, and spontaneous focusing on number for children's math abilities.

Authors:  Alex M Silver; Leanne Elliott; Adwoa Imbeah; Melissa E Libertus
Journal:  Math Think Learn       Date:  2020-09-12

2.  Modeling the interaction of numerosity and perceptual variables with the diffusion model.

Authors:  Inhan Kang; Roger Ratcliff
Journal:  Cogn Psychol       Date:  2020-04-20       Impact factor: 3.468

3.  An Introduction to the Approximate Number System.

Authors:  Darko Odic; Ariel Starr
Journal:  Child Dev Perspect       Date:  2018-04-10

4.  Non-symbolic numerosity encoding escapes spatial frequency equalization.

Authors:  Andrea Adriano; Luisa Girelli; Luca Rinaldi
Journal:  Psychol Res       Date:  2021-01-04

5.  Modeling numerosity representation with an integrated diffusion model.

Authors:  Roger Ratcliff; Gail McKoon
Journal:  Psychol Rev       Date:  2017-11-16       Impact factor: 8.934

6.  Examining aging and numerosity using an integrated diffusion model.

Authors:  Roger Ratcliff; Gail McKoon
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2020-07-30       Impact factor: 3.051

7.  Numerosity representation is encoded in human subcortex.

Authors:  Elliot Collins; Joonkoo Park; Marlene Behrmann
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-20       Impact factor: 11.205

8.  The relative salience of numerical and non-numerical dimensions shifts over development: A re-analysis of.

Authors:  Lauren S Aulet; Stella F Lourenco
Journal:  Cognition       Date:  2021-01-29

9.  Processing symbolic magnitude information conveyed by number words and by scalar adjectives.

Authors:  Arnold R Kochari; Herbert Schriefers
Journal:  Q J Exp Psychol (Hove)       Date:  2021-07-16       Impact factor: 2.143

10.  Representation of visual numerosity information during working memory in humans: An fMRI decoding study.

Authors:  Ian Morgan Leo Pennock; Timo Torsten Schmidt; Dilara Zorbek; Felix Blankenburg
Journal:  Hum Brain Mapp       Date:  2021-03-11       Impact factor: 5.038

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.