TY - GEN
T1 - Auditory temporal assimilation
T2 - 16th International Conference on Neural Information Processing, ICONIP 2009
AU - Takeichi, Hiroshige
AU - Mitsudo, Takako
AU - Nakajima, Yoshitaka
AU - Remijn, Gerard B.
AU - Goto, Yoshinobu
AU - Tobimatsu, Shozo
PY - 2009/12/1
Y1 - 2009/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=76249093130&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-10684-2_33
DO - 10.1007/978-3-642-10684-2_33
M3 - Conference contribution
AN - SCOPUS:76249093130
SN - 364210682X
SN - 9783642106828
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 299
EP - 308
BT - Neural Information Processing - 16th International Conference, ICONIP 2009, Proceedings
Y2 - 1 December 2009 through 5 December 2009
ER -