A pulse neural network incorporating short term synaptic plasticity for engineering applications

抄録

The purpose of this paper is to propose a pulse neuron model named Pulse Neural Network incorporating Short-term Synaptic Plasticity (PNNSSP). PNNSSP extends PNN so as to change synaptic efficiency in accordance with pulse frequency. Results of computational experiments indicate PNNSSP requires less number of neurons and synapses which are necessary to build XOR function than PNN. In addition, we make experiments in which PNNSSP is used for a controller of an autonomous mobile robot as an engineering application of PNNSSP. As a result, it becomes clear that efficiency of the robot which uses PNNSSP for the controller is superior in comparison with PNN.