A point-process coincidence network for representing interaural delay

Author

Wilson, Timothy A. ; Thongprasirt, Rachod

Author_Institution

Dept. of Electr. Eng., Univ. of Memphis, TN, USA

Volume

1

fYear

1997

fDate

9-12 Jun 1997

Firstpage

390

Abstract

A coincidence network of the type due to Jeffress (1948) and Licklider (1959), for detecting interaural delays, was implemented using a tick-by-tick simulation of point-process neurons with firing-event outputs. Both primary and coincidence neurons were simulated by renewal-processes having absolute and relative refractory effects. Coincidence neurons were implemented by a piecewise nonlinearity operating on low-pass filtered versions of the sum of the spike-train outputs of neurons representing left and right ears. A network of coincidence neurons was implemented by taking the left- and right-ear spike trains for various values of delay. Coincidence detector outputs were determined, and the computational results were examined at several points corresponding to particular relative delays

Keywords

auditory evoked potentials; brain models; delays; ear; filtering theory; low-pass filters; neural nets; neurophysiology; physiological models; stochastic processes; Jeffress-Licklider coincidence network; absolute refractory effects; coincidence neurons; ears; firing-event outputs; interaural delay; low-pass filtered versions; piecewise nonlinearity; point-process coincidence network; point-process neurons; relative refractory effects; renewal-processes; spike-train output sum; tick-by-tick simulation; Biological system modeling; Biomembranes; Discrete event simulation; Ear; Event detection; Frequency; Hair; Neurons; Timing; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks,1997., International Conference on

Conference_Location

Houston, TX

Print_ISBN

0-7803-4122-8

Type

conf

DOI

10.1109/ICNN.1997.611700

Filename

611700