Auditory Temporal Assimilation: A Discriminant Analysis of Electrophysiological Evidence

  • Authors:

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

  • Affiliations:

  • Lab. for Mathematical Neuroscience, BSI, RIKEN, Saitama, Japan 351-0198;Dept. of Clin. Neurophys., Neurol. Inst., Faculty of Medicine, Kyushu University,;Dept. of Human Science, Faculty of Design, Kyushu University,;Grad. Sch. Human and Socio-Environment Studies, Kanazawa University,;Dept. of Occup. Therapy, Faculty of Rehabilitation, Int l Univ. of Health and Welfare,;Dept. of Clin. Neurophys., Neurol. Inst., Faculty of Medicine, Kyushu University,

  • Venue:
  • ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
  • Year:
  • 2009

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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.