A neural network approach to prediction of psychological performance in frequency discrimination

Fan Gang Zeng, Minsheng Zhang, Kishan G. Mehrotra, Chilukuri K Mohan, Sanjay Ranka

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

Abstract

The relationship between psychological performance and psychological data for human auditory frequency discrimination is addressed. Two theories had been proposed earlier to explain the data available for this task: the single-band theory and the multiband theory. By constructing neural network models of the physiological structure, the authors attempted to substantiate these theories. However, the predictions of both these theories do not correspond well with observed data. The authors formulate a new weighted-band theory, which is suggested and supported by experimental data.

Original languageEnglish (US)
Title of host publicationIJCNN. International Joint Conference on Neural Networks
PublisherIEEE Computer Society
Pages361-366
Number of pages6
StatePublished - 1990
Event1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3) - San Diego, CA, USA
Duration: Jun 17 1990Jun 21 1990

Other

Other1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3)
CitySan Diego, CA, USA
Period6/17/906/21/90

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Zeng, F. G., Zhang, M., Mehrotra, K. G., Mohan, C. K., & Ranka, S. (1990). A neural network approach to prediction of psychological performance in frequency discrimination. In IJCNN. International Joint Conference on Neural Networks (pp. 361-366). IEEE Computer Society.