Cellular neural network model of the time-coding pathway of sound localization - hyperacuity in time

K. Lotz, L. Boloni, T. Roska, J. Hamori

Research output: Contribution to conferencePaper

Abstract

This paper discusses a new cellular neural network model of the time-coding pathway of sound localization. The key feature of the model is lateral inhibition which is supposed to play crucial role in sound localization. The possible role of this inhibition is examined on the basis of our model and several conclusions are drawn concerning the expected nature of inhibition. It is also shown that by use of inhibition a group of neurons may be much more sensitive to interaural time difference than one individual neuron. Hence, our model for the first stage of the sound localization system solves a 'hyperacuity in time' problem.

Original languageEnglish
Pages670-675
Number of pages6
Publication statusPublished - Jan 1 1996
EventProceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) - Washington, DC, USA
Duration: Jun 3 1996Jun 6 1996

Other

OtherProceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4)
CityWashington, DC, USA
Period6/3/966/6/96

ASJC Scopus subject areas

  • Software

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    Lotz, K., Boloni, L., Roska, T., & Hamori, J. (1996). Cellular neural network model of the time-coding pathway of sound localization - hyperacuity in time. 670-675. Paper presented at Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4), Washington, DC, USA, .