Title :
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
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;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.611700