Literature DB >> 28396096

What does semantic tiling of the cortex tell us about semantics?

Lawrence W Barsalou1.   

Abstract

Recent use of voxel-wise modeling in cognitive neuroscience suggests that semantic maps tile the cortex. Although this impressive research establishes distributed cortical areas active during the conceptual processing that underlies semantics, it tells us little about the nature of this processing. While mapping concepts between Marr's computational and implementation levels to support neural encoding and decoding, this approach ignores Marr's algorithmic level, central for understanding the mechanisms that implement cognition, in general, and conceptual processing, in particular. Following decades of research in cognitive science and neuroscience, what do we know so far about the representation and processing mechanisms that implement conceptual abilities? Most basically, much is known about the mechanisms associated with: (1) feature and frame representations, (2) grounded, abstract, and linguistic representations, (3) knowledge-based inference, (4) concept composition, and (5) conceptual flexibility. Rather than explaining these fundamental representation and processing mechanisms, semantic tiles simply provide a trace of their activity over a relatively short time period within a specific learning context. Establishing the mechanisms that implement conceptual processing in the brain will require more than mapping it to cortical (and sub-cortical) activity, with process models from cognitive science likely to play central roles in specifying the intervening mechanisms. More generally, neuroscience will not achieve its basic goals until it establishes algorithmic-level mechanisms that contribute essential explanations to how the brain works, going beyond simply establishing the brain areas that respond to various task conditions.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cognitive mechanisms; Conceptual processing; Explanatory levels; Multi-voxel pattern analysis; Neural encoding and decoding; Semantics

Mesh:

Year:  2017        PMID: 28396096     DOI: 10.1016/j.neuropsychologia.2017.04.011

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  7 in total

1.  Frontotemporal stimulation modulates semantically-guided visual search during confrontation naming: A combined tDCS and eye tracking investigation.

Authors:  Richard J Binney; Sameer A Ashaie; Bonnie M Zuckerman; Jinyi Hung; Jamie Reilly
Journal:  Brain Lang       Date:  2018-04-11       Impact factor: 2.381

2.  The meaning-making mechanism(s) behind the eyes and between the ears.

Authors:  Peter Hagoort
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-12-16       Impact factor: 6.237

Review 3.  Multiple functions of the angular gyrus at high temporal resolution.

Authors:  Mohamed L Seghier
Journal:  Brain Struct Funct       Date:  2022-06-08       Impact factor: 3.270

4.  In for a penny, in for a pound: examining motivated memory through the lens of retrieved context models.

Authors:  Deborah Talmi; Deimante Kavaliauskaite; Nathaniel D Daw
Journal:  Learn Mem       Date:  2021-11-15       Impact factor: 2.460

5.  Brain reading and behavioral methods provide complementary perspectives on the representation of concepts.

Authors:  Andrew James Bauer; Marcel Adam Just
Journal:  Neuroimage       Date:  2018-11-17       Impact factor: 6.556

Review 6.  From Broca and Wernicke to the Neuromodulation Era: Insights of Brain Language Networks for Neurorehabilitation.

Authors:  Grigorios Nasios; Efthymios Dardiotis; Lambros Messinis
Journal:  Behav Neurol       Date:  2019-07-22       Impact factor: 3.342

Review 7.  The Emotional Facet of Subjective and Neural Indices of Similarity.

Authors:  Martina Riberto; Gorana Pobric; Deborah Talmi
Journal:  Brain Topogr       Date:  2019-11-14       Impact factor: 3.020

  7 in total

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