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  How does hemispheric specialization contribute to human-defining cognition?

Hartwigsen, G., Bengio, Y., & Bzdok, D. (in press). How does hemispheric specialization contribute to human-defining cognition? Neuron, 109(13), 2075-2090. doi:10.1016/j.neuron.2021.04.024.

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 Creators:
Hartwigsen, Gesa1, Author              
Bengio, Yoshua2, 3, Author
Bzdok, Danilo2, 4, 5, Author
Affiliations:
1Lise Meitner Research Group Cognition and Plasticity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3025665              
2Mila – Quebec Artificial Intelligence Institute, Montréal, QC, Canada, ou_persistent22              
3University of Montréal, QC, Canada, ou_persistent22              
4McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, QC, Canada, ou_persistent22              
5School of Computer Science, McGill University, Montréal, QC, Canada, ou_persistent22              

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Free keywords: Human intelligence; Artificial general intelligence; Computational design principles; Deep learning; Language; Global workspace theory
 Abstract: Uniquely human cognitive faculties arise from flexible interplay between specific local neural modules, with hemispheric asymmetries in functional specialization. Here, we discuss how these computational design principles provide a scaffold that enables some of the most advanced cognitive operations, such as semantic understanding of world structure, logical reasoning, and communication via language. We draw parallels to dual-processing theories of cognition by placing a focus on Kahneman’s System 1 and System 2. We propose integration of these ideas with the global workspace theory to explain dynamic relay of information products between both systems. Deepening the current understanding of how neurocognitive asymmetry makes humans special can ignite the next wave of neuroscience-inspired artificial intelligence.

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Language(s): eng - English
 Dates: 2021-04-26
 Publication Status: Accepted / In Press
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.neuron.2021.04.024
Other: epub 2021
PMID: 34004139
PMC: PMC8273110
 Degree: -

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Title: Neuron
Source Genre: Journal
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Affiliations:
Publ. Info: Cambridge, Mass. : Cell Press
Pages: - Volume / Issue: 109 (13) Sequence Number: - Start / End Page: 2075 - 2090 Identifier: ISSN: 0896-6273
CoNE: https://pure.mpg.de/cone/journals/resource/954925560565