INVESTIGATION ON THE COMPUTATIONAL PROPERTIES OF INTRANEURONAL DYNAMICS

This paper aims at exploring computational properties of dynamic processes in neu-ral systems,studying their mathematical formulation,and applying the results to artificial neuralnetwork modeling.The stimulus-response processes in neurons are first introduced briefly,thenproperties of neurons described by the Hodgkin-Huxley equations are analyzed.After studyinghow to simplify,the Hodgkin-Huxley equations while maintaining its properties,the concept of dy-namic neuron model is proposed.It is pointed out that the neuron model should include internalstates in order to obtain time-variant thresholds,such as refractory periods of neurons.Finallywe discuss problems related to neural network models based on pulse-stream communication andthe contribution of intraneuronal dynamics to collective properties of the neural network.

Investigation on the computational properties of intraneuronal dynamics

This paper aims at exploring computational properties of dynamic processes in neu- ral systems,studying their mathematical formulation,and applying the results to artificial neural network modeling.The stimulus-response processes in neurons are first introduced briefly,then properties of neurons described by the Hodgkin-Huxley equations are analyzed.After studying how to simplify,the Hodgkin-Huxley equations while maintaining its properties,the concept of dy- namic neuron model is proposed.It is pointed out that the neuron model should include internal states in order to obtain time-variant thresholds,such as refractory periods of neurons.Finally we discuss problems related to neural network models based on pulse-stream communication and the contribution of intraneuronal dynamics to collective properties of the neural network.