Complex vocal behavior and cortical-medullar projection

Kazuo Okanoya, Sayaka Hihara, Naoko Tokimoto, Yasuko Tobari, Atsushi Iriki

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    We argue that the intentional control of vocal organ is the most basic predisposition for vocal learning and thus for language acquisition. Anatomical substrates for intentional vocal control are the direct cortical-medullar projections that connect face motor cortecies and the nucleus retro-ambiguus. We ask how such projections may be reinforced in non-vocal learners including macaque monkeys and rodents by behavioral manipulations. We hypothesize how such connections may be prepared in humans.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages362-367
    Number of pages6
    Volume3609 LNAI
    Publication statusPublished - 2007
    Event17th and 18th Annual Conferences of the Japanese Society for Artificial Intelligence, (JSAI 2003 and JSAI 2004) - Niigata
    Duration: 2003 Jun 232003 Jun 27

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3609 LNAI
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other17th and 18th Annual Conferences of the Japanese Society for Artificial Intelligence, (JSAI 2003 and JSAI 2004)
    CityNiigata
    Period03/6/2303/6/27

    ASJC Scopus subject areas

    • Computer Science(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Theoretical Computer Science

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  • Cite this

    Okanoya, K., Hihara, S., Tokimoto, N., Tobari, Y., & Iriki, A. (2007). Complex vocal behavior and cortical-medullar projection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3609 LNAI, pp. 362-367). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3609 LNAI).