Linguistic priors shape categorical perception
Publication year
2016Number of pages
7 p.
Source
Language, Cognition and Neuroscience, 31, 1, (2016), pp. 159-165ISSN
Publication type
Article / Letter to editor
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Organization
SW OZ DCC CO
SW OZ DCC BO
PI Group Neurobiology of Language
PI Group Predictive Brain
Journal title
Language, Cognition and Neuroscience
Volume
vol. 31
Issue
iss. 1
Languages used
English (eng)
Page start
p. 159
Page end
p. 165
Subject
110 000 Neurocognition of Language; 180 000 Predictive Brain; Action, intention, and motor control; DI-BCB_DCC_Theme 1: Language and Communication; DI-BCB_DCC_Theme 2: Perception, Action and Control; Language in InteractionAbstract
This article reviews recent literature on the role of top-down feedback processes in semantic representations in the brain. Empirical studies on perception and theoretical models of semantic cognition show that sensory input is filtered and interpreted based on predictions from higher order cognitive areas. Here, we review the present evidence to the proposal that linguistic constructs, in particular, words, could serve as effective priors, facilitating perception and integration of sensory information. We address a number of theoretical questions arising from this assumption. The focus here is if linguistic categories have a direct top-down effect on early stages of perception; or rather interact with later processing stages such as semantic analysis. We discuss experimental approaches that could discriminate between these possibilities. Taken together, this article provides a review on the interaction between language and perception from the predictive perspective, and suggests avenues to investigate the underlying mechanisms from this perspective.
Subsidient
NWO (Grant code:info:eu-repo/grantAgreement/NWO/Gravitation/024.001.006)
This item appears in the following Collection(s)
- Academic publications [238441]
- Donders Centre for Cognitive Neuroimaging [3824]
- Electronic publications [122523]
- Faculty of Social Sciences [29483]
- Open Access publications [97518]
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