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  Concurrent statistical learning of ignored and attended sound sequences: An MEG study

Daikoku, T., & Yumoto, M. (2019). Concurrent statistical learning of ignored and attended sound sequences: An MEG study. Frontiers in Human Neuroscience, 13: 102. doi:10.3389/fnhum.2019.00102.

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 Creators:
Daikoku, Tatsuya1, 2, Author           
Yumoto, Masato1, Author
Affiliations:
1Department of Clinical Laboratory, Graduate School of Medicine, University of Tokyo, Japan, ou_persistent22              
2Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634551              

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Free keywords: Sequential learning; Attention; Magnetoencephalography (MEG); Auditory; Markov model; Domain generality; Ngram
 Abstract: In an auditory environment, humans are frequently exposed to overlapping sound sequences such as those made by human voices and musical instruments, and we can acquire information embedded in these sequences via attentional and nonattentional accesses. Whether the knowledge acquired by attentional accesses interacts with that acquired by nonattentional accesses is unknown, however. The present study examined how the statistical learning of two overlapping sound sequences is reflected in neurophysiological and behavioural responses, and how the learning effects are modulated by attention to each sequence. Statistical learning in this experimental paradigm was reflected in a neuromagnetic response predominantly in the right hemisphere, and the learning effects were not retained when attention to the tone streams was switched during the learning session. These results suggest that attentional and nonattentional learning scarcely interact with each other, and that there may be a specific system for nonattentional learning, which is independent of attentional learning.

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Language(s): eng - English
 Dates: 2018-08-102019-03-062019-04-17
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fnhum.2019.00102
PMID: 31057378
PMC: PMC6481113
Other: eCollection 2019
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Funding organization : Kawai Foundation for Sound Technology and Music
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Funding organization : The Kao Foundation for Arts and Sciences

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Title: Frontiers in Human Neuroscience
  Abbreviation : Front Hum Neurosci
Source Genre: Journal
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Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 13 Sequence Number: 102 Start / End Page: - Identifier: ISSN: 1662-5161
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5161