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2009 WRI World Congress on Computer Science and Information Engineering
Extended Spike-Rate Perceptrons
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
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.
Citation:
Xuyan Xiang, Yingchun Deng, Xiangqun Yang, "Extended Spike-Rate Perceptrons," csie, vol. 5, pp.33-37, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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