Dynamic model of information processing and/or self-excitation in thalamo-cortical neuron-like models

被引：0
|
作者：
Nuidel I.V. [1 ]
Sokolov M.E. [1 ]
Yakhno V.G. [1 ,2 ]
机构：
[1] Institute of Applied Physics RAS, Nizhny Novgorod
[2] Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod
来源：
Optical Memory and Neural Networks (Information Optics) | 2016年 / 25卷 / 04期
关键词：
complex systems; computational models of epilepsy; functional model of signal processing; neuron-like system with lateral inhibitory connections; nonlinear dynamics; thalamo-cortical circuit;
D O I：
10.3103/S1060992X16040093
中图分类号：
学科分类号：
摘要：
A functional model of signal transformation in neural networks of similar interconnected active elements is developed. The model describes dynamics of processing of sensory signals in thalamo- cortical neural networks. Using the model normal modes of signal processing are obtained (by the example of images). In addition, we reproduced regimes of propagation of areas of an increased impulse activity (analogue of epilepsy). Control of a coupling coefficient between the model’s modules reproduces a phenomenon of intermittency in thalamo-cortical oscillatory EEG patterns. © 2016, Allerton Press, Inc.
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页码：243 / 254
页数：11
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