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A Point-Process Coincidence Network for Representing Interaural Delay.

Neural Networks,1997, International Conference(1997)

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摘要
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
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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
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