Digital spiking neuron and its learning for approximation of various spike-trains
نویسندگان
چکیده
A digital spiking neuron is a wired system of shift registers and can generate various spike-trains by adjusting the wiring pattern. In this paper we analyze the basic relations between the wiring pattern and characteristics of the spike-train. Based on the relations, we present a learning algorithm which utilizes successive changes of the wiring pattern. It is shown that the neuron can reproduce spike-trains of another neuron which has an unknown wiring pattern. It is also shown that the neuron can approximate various spike-trains of a chaotic analog spiking neuron.
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عنوان ژورنال:
- Neural networks : the official journal of the International Neural Network Society
دوره 21 2-3 شماره
صفحات -
تاریخ انتشار 2008