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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. 相似文献
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从国内外市场需求特点可以看出,今后市场将围绕高档数控机床竞争,世界各国都在转型升级,以先进技术再造装备制造业。重型机床行业应顺应这一新趋势,强化集设计开发、制造、服务、应用于一体的综合竞争能力,全面提升市场竞争力,为参与国际竞争做好充分准备,开创重型机床发展的新局面。 相似文献
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