Abstract
SpikeProp, which is proposed by Bohte, is a kind of spiking neural networks. Booij extends it to handle multiple spikes. As a result, SpikeProp can perform transformation of spike sequences. On the other hand, a problem is arose: it requires much computation time. In this article, we solve the problem by approximation: approximate the spike response function by a polynomial. For approximation, we take care of two issues: (1) minimize approximation error on the ascending slope, (2) smoothly decrease to zero. We show the effectiveness of the approximation by simple experiments. With the approximated spike response function, we reduced computation time of less than one tenth of the original model without degrading training ability and generalization ability.
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