Release Time:2019-03-09  Hits:

Indexed by: Journal Article

Date of Publication: 2012-10-01

Journal: NEURAL PROCESSING LETTERS

Included Journals: Scopus、EI、SCIE

Volume: 36

Issue: 2

Page Number: 135-144

ISSN: 1370-4621

Key Words: Spiking neuron; Firing time; Derivative of the state function

Abstract: In usual spiking neural networks, the real world information is interpreted as spike time. A spiking neuron of the spiking neural network receives input vector of spike times, and activates a state function x(t) by increasing the time t until the value of x(t) reaches certain threshold value at a firing time t (a) . And t (a) is the output of the spiking neuron. In this paper we propose, and investigate the performance of, a modified spiking neuron, of which the output is a linear combination of the firing time t (a) and the derivative x'(t (a) ). The merit of the modified spiking neuron is shown by numerical experiments for solving some benchmark problems: The computational time of a modified spiking neuron is a little greater than that of a usual spiking neuron, but the accuracy of a modified spiking neuron is almost as good as a usual spiking neural network with a hidden layer.