date: 2019-04-16T05:44:52Z
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pdf:docinfo:title: Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG Study
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subject: 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.
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dc:title: Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG Study
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cp:subject: 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.
pdf:docinfo:subject: 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.
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dc: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.
Keywords: statistical learning, attention, auditory, Markov model, magnetoencephalography
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dc:creator: Tatsuya Daikoku
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.
dcterms:created: 2019-04-16T05:43:55Z
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title: Concurrent Statistical Learning of Ignored and Attended Sound Sequences: An MEG Study
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pdf:docinfo:keywords: statistical learning, attention, auditory, Markov model, magnetoencephalography
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dc:subject: statistical learning, attention, auditory, Markov model, magnetoencephalography
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