Abstract
By constructing Gaussian Naïve Bayes Classifiers, we have re-analyzed data from an earlier event-related potential (ERP) study of an illusion in time perception known as auditory temporal assimilation. In auditory temporal assimilation, two neighboring physically unequal time intervals marked by three successive tone bursts are illusorily perceived as equal if the two time intervals satisfy a certain relationship. The classifiers could discriminate whether or not the subject was engaged in the task, which was judgment of the subjective equality between the two intervals, at an accuracy of >79%, and from principal component scores of individual average ERP waveforms, we were able to predict their subjective judgments to each stimulus at an accuracy of >70%. Chernoff information, unlike accuracy or Kullback–Leibler (KL) distance, suggested brain activation associated with auditory temporal assimilation at an early pre-decision stage. This may provide us with a simple and useful neural decoding scheme in analyzing information processing of temporal patterns in the brain.
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Acknowledgments
This study was partially supported by a Grant-in-aid for scientific research from the Ministry of Education, Culture, Sports, Science and Technology 20530674 to HT, 20653054 and 19103003 to YN and 19390242 to ST. TM was supported by the JSPS Research Fellowships for Young Scientists. The authors are grateful to Drs. Kazuo Ueda, Kimio Shiraishi (Kyushu Univ), Akitoshi Ogawa, Kukjin Kang, Shun-Ichi Amari (RIKEN BSI), Soo-Young Lee (KAIST) for suggestions and discussion.
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Takeichi, H., Mitsudo, T., Nakajima, Y. et al. A neural decoding approach to auditory temporal assimilation. Neural Comput & Applic 20, 965–973 (2011). https://doi.org/10.1007/s00521-010-0399-z
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DOI: https://doi.org/10.1007/s00521-010-0399-z