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[神经网络活动中长周期振荡的发展机制。随机均匀神经网络]

[Mechanisms of development of long-periodicity oscillations in activity in nerve nets. Stochastically uniform nerve nets].

作者信息

Degtiarenko A M

出版信息

Neirofiziologiia. 1986;18(3):382-91.

PMID:3016573
Abstract

The possibility of generation of long-term activity in the stochastic uniform networks consisting of neuron-like threshold elements was analyzed by the mathematical simulation model. It was shown that the long-term (hundreds of milliseconds) self-stopping activity in the networks with a positive feed-back between units can be generated. Termination of the activity was based on the following factors: 1) stochastic properties of network processes which determine the fluctuations of the activity level; 2) neuronal interaction leading either to synchronization of neuronal discharges and respectively to postactivation inhibitory processes, or to reconstruction of the microstructure of the neuronal network activity when weak-connected neurons are predominantly excited. Basing on the data obtained possible participation of the mechanism involved in formation of the long-term self-stopping activity of interneuronal networks of the spinal cord realizing different types of programmed rhythmical activity (generators) is discussed.

摘要

通过数学模拟模型分析了由类神经元阈值元件组成的随机均匀网络中产生长期活动的可能性。结果表明,在单元之间具有正反馈的网络中可以产生长期(数百毫秒)的自停止活动。活动的终止基于以下因素:1)网络过程的随机特性,其决定了活动水平的波动;2)神经元相互作用,其要么导致神经元放电同步并分别导致激活后抑制过程,要么在弱连接神经元主要被激发时导致神经网络活动微观结构的重构。基于所获得的数据,讨论了参与脊髓中间神经元网络长期自停止活动形成的机制可能参与实现不同类型的程序性节律活动(发生器)的情况。

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