Auditory temporal assimilation: A discriminant analysis of electrophysiological evidence

Hiroshige Takeichi, Takako Mitsudo, Yoshitaka Nakajima, Gerard B. Remijn, Yoshinobu Goto, Shozo Tobimatsu

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

    1 Citation (Scopus)

    Abstract

    A portion of the data from an event-related potential (ERP) experiment [1] on auditory temporal assimilation [2, 3] was reanalyzed by constructing Gaussian Naïve Bayes Classifiers [4]. In auditory temporal assimilation, two neighboring physically-unequal time intervals marked by three successive tone bursts are illusorily perceived to have the same duration if the two time intervals satisfy a certain relationship. The classifiers could discriminate the subject's task, which was judgment of the equivalence between the two intervals, at an accuracy of 86-96% as well as their subjective judgments to the physically equivalent stimulus at an accuracy of 82-86% from individual ERP average waveforms. Chernoff information [5] provided more consistent interpretations compared with classification errors as to the selection of the component most strongly associated with the perceptual judgment. This may provide us with a simple but somewhat robust neurodecoding scheme.

    Original languageEnglish
    Title of host publicationNeural Information Processing - 16th International Conference, ICONIP 2009, Proceedings
    Pages299-308
    Number of pages10
    EditionPART 2
    DOIs
    Publication statusPublished - 2009
    Event16th International Conference on Neural Information Processing, ICONIP 2009 - Bangkok, Thailand
    Duration: Dec 1 2009Dec 5 2009

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 2
    Volume5864 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other16th International Conference on Neural Information Processing, ICONIP 2009
    Country/TerritoryThailand
    CityBangkok
    Period12/1/0912/5/09

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • General Computer Science

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