A novel multiplicative neural network architecture motivated by spiking neuron model

Deepak Mishra, Abhishek Yadav, Prem K Kalra


In this paper, learning algorithm for a multiplicative neural network motivated by spiking neuron model (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural network is conventionally used. It is observed that the inclusion of a few more biological phenomena in the formulation of artificial neural network models make them more prevailing. Several benchmark and real-life problems of classification and function-approximation are illustrated.


Neuron models; artificial neural network; spiking neuron; multilayer perceptron

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