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

Author

Lotz, K. ; Bilonu, L. ; Roska, T. ; Hámori, J.

Author_Institution

Analogical & Neural Comput. Lab., Hungarian Acad. of Sci., Budapest, Hungary

Volume

2

fYear

1996

fDate

3-6 Jun 1996

Firstpage

670

Abstract

This paper discusses a 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 a 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

Keywords

auditory evoked potentials; bioacoustics; cellular neural nets; hearing; cellular neural network model; hyperacuity; interaural time difference; lateral inhibition; sound localization; time-coding pathway; Acoustic signal detection; Azimuth; Biological system modeling; Cellular neural networks; Convergence; Electronic mail; Intelligent networks; Laboratories; Neurofeedback; Neurons;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1996., IEEE International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-7803-3210-5

Type

conf

DOI

10.1109/ICNN.1996.548976

Filename

548976