Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG Study
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 a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-04-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fnhum.2019.00102/full |
| _version_ | 1828786559603703808 |
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| author | Tatsuya Daikoku Tatsuya Daikoku Masato Yumoto |
| author_facet | Tatsuya Daikoku Tatsuya Daikoku Masato Yumoto |
| author_sort | Tatsuya Daikoku |
| collection | DOAJ |
| description | 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 (SL) of two overlapping sound sequences is reflected in neurophysiological and behavioral responses, and how the learning effects are modulated by attention to each sequence. SL 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. |
| first_indexed | 2024-12-12T00:13:25Z |
| format | Article |
| id | doaj.art-3e31690123344adfb68f7017f7b2a143 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-12T00:13:25Z |
| publishDate | 2019-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-3e31690123344adfb68f7017f7b2a1432022-12-22T00:44:54ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612019-04-011310.3389/fnhum.2019.00102418871Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG StudyTatsuya Daikoku0Tatsuya Daikoku1Masato Yumoto2Department of Clinical Laboratory, Graduate School of Medicine, The University of Tokyo, Tokyo, JapanDepartment of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, GermanyDepartment of Clinical Laboratory, Graduate School of Medicine, The University of Tokyo, Tokyo, JapanIn 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 (SL) of two overlapping sound sequences is reflected in neurophysiological and behavioral responses, and how the learning effects are modulated by attention to each sequence. SL 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.https://www.frontiersin.org/article/10.3389/fnhum.2019.00102/fullstatistical learningattentionauditoryMarkov modelmagnetoencephalography |
| spellingShingle | Tatsuya Daikoku Tatsuya Daikoku Masato Yumoto Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG Study Frontiers in Human Neuroscience statistical learning attention auditory Markov model magnetoencephalography |
| title | Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG Study |
| title_full | Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG Study |
| title_fullStr | Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG Study |
| title_full_unstemmed | Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG Study |
| title_short | Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG Study |
| title_sort | concurrent statistical learning of ignored and attended sound sequences an meg study |
| topic | statistical learning attention auditory Markov model magnetoencephalography |
| url | https://www.frontiersin.org/article/10.3389/fnhum.2019.00102/full |
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