【摘要】 讨论神经系统识别爆发型锋电位序列信息的机制,认为序列的信息存储在爆发锋电位组内间隔和组间间隔2个时间变量中,建立了一个神经回路,通过突触传递过程中的易化、反馈调节机制以及时间依赖的学习机制等突触可塑性机制,给出了神经系统识别爆发性锋电位序列信息的一种可能机制,其中包括分解机制和整合机制两部分.首先通过神经元选择性响应的动力学性质,将锋电位序列的信息分解,并将每组锋电位内部间隔的信息通过不同神经元学习存储.通过突触延迟时间的动力学调整,将2组锋电位之间的时间间隔学习、存储在回路中.经过多次学习训练,神经回路对输入信号形成特定的突触连接结构以及时空响应输出模式,实现对爆发性锋电位序列信息的识别.更多还原

【Abstract】 To discuss the burst spike train recognition mechanisms in nervous system,the information of the train is supposed as in the intraburst period and the interburst period.A neural circuit is designed to give a possible mechanism for the burst spike train recognition based on the biological mechanisms of synaptic facilitation,feedback modulation and spike-time dependent plasticity.Firstly the burst spike train is decomposed into isolated spikes through the selective response property of the Hodgkin-Huxley neuron and the intraburst period information is transferred separately by different neurons.Secondly,the interburst period information is learned and stored in the synaptic delay times by the dynamic modulation of the synapses.After training,a specifically synaptic connectivity structure is formed in the neural circuit,and the input burst spike train is recognized by the output temporal-spatial pattern.更多还原