Synchronization mechanisms in local neural networks in the neocortex. Modeling and experimental studies

被引：0

作者：

Marchenko V.G. ^{[1
]}

Saltykov K.A. ^{[1
]}

机构：

[1] Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow

来源：

Neuroscience and Behavioral Physiology | 2011年 / 41卷 / 5期

关键词：

cats; epileptic potentials; neocortex; rats; simulation; synchronization;

D O I：

10.1007/s11055-011-9437-2

中图分类号：

学科分类号：

摘要：

Measures of excitation and inhibition were studied in cat visual cortex neurons and the time parameters of epileptiform activity were studied in rat sensorimotor cortex neurons. The results were used to construct a simulation model of a neural network in the Neiroimitator program, and this was used to investigate synchronization mechanisms. The neural network consisted of 30 neurons with different excitation and inhibition time parameters. Studies were performed with the neural network simulation in two states. In the first case, the activity of each neuron was spontaneous, while the second used cycles of excitation and inhibition. Synchronization (simultaneous neuron activity) with the ordered temporal structure (excitation-inhibition cycles, which started simultaneously) was significantly greater than in conditions of spontaneous activity and when cycles started non-simultaneously. These results show that synchronization in local neural networks is increased mainly because of transient inhibition and that the greater amplitude of the summed (field) potential may reflect the synchronous operation of nervous system elements which are not directly connected to each other. © 2011 Springer Science+Business Media, Inc.

引用

页码：459 / 466

页数：7

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