2002•Proceedings of International Conference on Neural Networks (ICNN'97)Requires access
A point-process coincidence network for representing interaural delay
Timothy Wilson, Rachod Thongprasirt
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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.