Statistical learning of music- and language-like sequences and tolerance for spectral shifts
• We investigated the statistical learning of music-like and language-like tone sequences. • We verified that statistical learning was reflected in neuromagnetic N1m responses. • Not only formant but also pitch change may be important for language learning. • Statistically acquired knowledge could a...
Ausführliche Beschreibung
Autor*in: |
Daikoku, Tatsuya [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Schlagwörter: |
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Umfang: |
12 |
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Übergeordnetes Werk: |
Enthalten in: Photoluminescence and photocatalytic activity of rare earth ions doped anatase TiO - Radha, Eppa ELSEVIER, 2022, Orlando, Fla |
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Übergeordnetes Werk: |
volume:118 ; year:2015 ; pages:8-19 ; extent:12 |
Links: |
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DOI / URN: |
10.1016/j.nlm.2014.11.001 |
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ELV029203775 |
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Statistical learning of music- and language-like sequences and tolerance for spectral shifts |
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• We investigated the statistical learning of music-like and language-like tone sequences. • We verified that statistical learning was reflected in neuromagnetic N1m responses. • Not only formant but also pitch change may be important for language learning. • Statistically acquired knowledge could adequately process spectral shifts. |
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• We investigated the statistical learning of music-like and language-like tone sequences. • We verified that statistical learning was reflected in neuromagnetic N1m responses. • Not only formant but also pitch change may be important for language learning. • Statistically acquired knowledge could adequately process spectral shifts. |
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• We investigated the statistical learning of music-like and language-like tone sequences. • We verified that statistical learning was reflected in neuromagnetic N1m responses. • Not only formant but also pitch change may be important for language learning. • Statistically acquired knowledge could adequately process spectral shifts. |
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code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Statistical learning of music- and language-like sequences and tolerance for spectral shifts</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">12</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• We 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