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Decoding semantic representations in mind and brain.

Authors :
Frisby SL
Halai AD
Cox CR
Lambon Ralph MA
Rogers TT
Source :
Trends in cognitive sciences [Trends Cogn Sci] 2023 Mar; Vol. 27 (3), pp. 258-281. Date of Electronic Publication: 2023 Jan 09.
Publication Year :
2023

Abstract

A key goal for cognitive neuroscience is to understand the neurocognitive systems that support semantic memory. Recent multivariate analyses of neuroimaging data have contributed greatly to this effort, but the rapid development of these novel approaches has made it difficult to track the diversity of findings and to understand how and why they sometimes lead to contradictory conclusions. We address this challenge by reviewing cognitive theories of semantic representation and their neural instantiation. We then consider contemporary approaches to neural decoding and assess which types of representation each can possibly detect. The analysis suggests why the results are heterogeneous and identifies crucial links between cognitive theory, data collection, and analysis that can help to better connect neuroimaging to mechanistic theories of semantic cognition.<br />Competing Interests: Declaration of interests The authors declare no conflicts of interest.<br /> (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Details

Language :
English
ISSN :
1879-307X
Volume :
27
Issue :
3
Database :
MEDLINE
Journal :
Trends in cognitive sciences
Publication Type :
Academic Journal
Accession number :
36631371
Full Text :
https://doi.org/10.1016/j.tics.2022.12.006