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  Computational models and neural bases of statistical learning in music and language: Comment on “Creativity, information, and consciousness: The information dynamics of thinking” by Wiggins

Daikoku, T. (2020). Computational models and neural bases of statistical learning in music and language: Comment on “Creativity, information, and consciousness: The information dynamics of thinking” by Wiggins. Physics of Life Reviews, 34-35, 48-51. doi:10.1016/j.plrev.2019.09.001.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0004-B84C-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-C72A-5
Genre: Journal Article

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 Creators:
Daikoku, Tatsuya1, Author           
Affiliations:
1Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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Free keywords: Speech; Memory; Time; Oscillations; Hippocampus; Knowledge; Neocortex
 Abstract: -

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Language(s): eng - English
 Dates: 2019-08-222019-09-022019-09-032020-12
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.plrev.2019.09.001
PMID: 31495681
PII: S1571-0645(19)30141-1
Other: Epub 2019
 Degree: -

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Funding program : -
Funding organization : Suntory Foundation for Life Sciences

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Title: Physics of Life Reviews
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 34-35 Sequence Number: - Start / End Page: 48 - 51 Identifier: ISSN: 1571-0645
CoNE: https://pure.mpg.de/cone/journals/resource/111087580658010