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一种考虑环形神经网络中节律性振荡产生的突触修饰算法。

A synaptic modification algorithm in consideration of the generation of rhythmic oscillation in a ring neural network.

作者信息

Tsutsumi K, Matsumoto H

出版信息

Biol Cybern. 1984;50(6):419-30. doi: 10.1007/BF00335199.

Abstract

In consideration of the generation of bursts of nerve impulses (that is, rhythmic oscillation in impulse density) in the ring neural network, a synaptic modification algorithm is newly proposed. Rhythmic oscillation generally occurs in the regular ring network with feedback inhibition and in fact such signals can be observed in the real nervous system. Since, however, various additional connections can cause a disturbance which easily extinguishes the rhythmic oscillation in the network, some function for maintaining the rhythmic oscillation is to be expected to exist in the synapses if such signals play an important part in the nervous system. Our preliminary investigation into the rhythmic oscillation in the regular ring network has led to the selection of the parameters, that is, the average membrane potential (AMP) and the average impulse density (AID) in the synaptic modification algorithm, where the decrease of synaptic strength is supposed to be essential. This synaptic modification algorithm using AMP and AID enables both the rhythmic oscillation and the nonoscillatory state to be dealt with in the algorithm without distinction. Simulation demonstrates cases in which the algorithm catches and holds the rhythmic oscillation in the disturbed ring network where the rhythmic oscillation was previously extinguished.

摘要

考虑到环形神经网络中神经冲动爆发(即冲动密度的节律性振荡)的产生,新提出了一种突触修饰算法。节律性振荡通常发生在具有反馈抑制的规则环形网络中,并且实际上在真实的神经系统中可以观察到这样的信号。然而,由于各种额外的连接会引起干扰,这种干扰很容易消除网络中的节律性振荡,所以如果这样的信号在神经系统中起重要作用,那么可以预期突触中存在某种维持节律性振荡的功能。我们对规则环形网络中节律性振荡的初步研究导致了参数的选择,即在突触修饰算法中选择平均膜电位(AMP)和平均冲动密度(AID),其中突触强度的降低被认为是至关重要的。这种使用AMP和AID的突触修饰算法能够在算法中无差别地处理节律性振荡和非振荡状态。模拟展示了该算法捕捉并保持先前节律性振荡已熄灭的受干扰环形网络中的节律性振荡的情况。

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