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Building a Bridge between Mirror Neurons and Theory of Embodied Cognition

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    SYSNO ASEP0103284
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleBuilding a Bridge between Mirror Neurons and Theory of Embodied Cognition
    TitleHledání souvislostí mezi zrcadlovými neurony a teorií vtělené kognice
    Author(s) Wiedermann, Jiří (UIVT-O) RID, SAI, ORCID
    Source TitleSOFSEM 2004: Theory and Practice of Computer Science. - Berlin : Springer, 2004 / Van Emde Boa P. ; Pokorný J. ; Bieliková M. ; Štuller J. - ISSN 0302-9743 - ISBN 3-540-20779-1
    Pagess. 361-372
    Number of pages12 s.
    ActionSOFSEM 2004. Conference on Current Trends in Theory and Practice of Computer Science /30./
    Event date24.01.2004-30.01.2004
    VEvent locationMěřín
    CountryCZ - Czech Republic
    Event typeWRD
    Languageeng - English
    CountryDE - Germany
    Keywordsembodied cognition ; complete agents ; mirror neurons ; imitation learning ; sensorimotor control
    Subject RIVBA - General Mathematics
    R&D ProjectsGA201/02/1456 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z1030915 - UIVT-O
    UT WOS000189212700031
    EID SCOPUS35048899786
    DOI10.1007/978-3-540-24618-3_31
    AnnotationMirror neurons (MN) are specialized neurons recently discovered in the brains of primates. In experiments MN showed activity both when a subject performed an action and when it observed the same action performed by self or another (possibly conspecific) subject. We formulate and study possible computational consequences of the hypothesis in which the experimentally observed properties of MN are generalized to other perceptive modalities and the underlying mechanism for coupling sensory and motor information is extended by an associative mechanism serving for completion of cross-modal information composed of perception and motor information. Depending on of what kind of information is completed, the hypothesis opens the door for understanding the mechanisms for sensorimotor coordination, imitation learning, and thinking and is inspiring for the design of such mechanisms in the case of artificial agents. Our results justify the hopes generally related to the discovery of MN.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2005
Number of the records: 1  

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