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Extended Spike-Rate Perceptrons

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3 Author(s)
Xuyan Xiang ; Coll. of Math. & Comput. Sci., Hunan Univ. of Arts & Sci., Changde, China ; Yingchun Deng ; Xiangqun Yang

According to the usual approximation scheme, we extend the spike-rate perceptron to develop a more biologically plausible so-called extended spike-rate perceptron with renewal process inputs, which employs both first and second statistics, i.e. the means, variances and correlations of the synaptic input. We show that such perceptron, even a single neuron, is able to perform complex non-linear tasks like the XOR problem, which is impossible to be solved by traditional single-layer perceptrons. Here such perceptron offers a significant advantage over spike-rate perceptrons, in that it includes a more accurate approximation to synaptic inputs, and that it introduces variance in the error representation. Our purpose is to open up the possibility of carrying out a random computation in neuronal networks.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:5 )

Date of Conference:

March 31 2009-April 2 2009

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