ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)

For citation:

Nuidel I. V., Sokolov M. E., Yakhno V. G. Macroscopic model of visual processing in brain structures in normal condition and description of the transition to epileptiform regime. Izvestiya VUZ. Applied Nonlinear Dynamics, 2015, vol. 23, iss. 5, pp. 92-106. DOI: 10.18500/0869-6632-2015-23-5-92-106

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Language: 
Russian
Heading: 
Nonlinear Dynamics and Neuroscience
Article type: 
Article
UDC: 
53, 612.82
DOI: 
10.18500/0869-6632-2015-23-5-92-106

Macroscopic model of visual processing in brain structures in normal condition and description of the transition to epileptiform regime

Autors: 
Nuidel Irina Vladimirovna, Institute of Applied Physics of the Russian Academy of Sciences
Sokolov Maksim Evgenevich, Institute of Applied Physics of the Russian Academy of Sciences
Yakhno Vladimir Grigorevich, Institute of Applied Physics of the Russian Academy of Sciences
Abstract: 

This paper presents the functional model of signal processing in networks of similar interconnected active elements. On the one hand, it is a macroscopic model of the dynamic interactions between neural networks and its states can be considered as normal and abnormal modes of signal processing (for example, images). On the other hand, the model and the calculation results can be considered as a variant of modeling epilepsy. In this paper we develop an information macroscopic approach to the modeling of epilepsy, which in this sense is unique.

Key words: 
Neural network emulators
neuromorphic model
modeling of sensory signal transformation in the thalamocortical neuronal ensembles
thalamocortical circuit
modeling of epilepsy
corticothalamic interactions
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Received: 
30.10.2015
Accepted: 
20.11.2015
Published: 
29.04.2016
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