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

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Sokolov M. E., Kuznetsova G. D., Nuidel I. V., Yakhno V. G. Simulator of the dynamic processes of sensor signal processing in talamo­cortical networks. Izvestiya VUZ. Applied Nonlinear Dynamics, 2011, vol. 19, iss. 6, pp. 117-129. DOI: 10.18500/0869-6632-2011-19-6-117-129

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Simulator of the dynamic processes of sensor signal processing in talamo­cortical networks

Sokolov Maksim Evgenevich, Institute of Applied Physics of the Russian Academy of Sciences
Kuznetsova Galina Dmitrievna, Federal State Budgetary Institution of Science "Institute of Higher Nervous Activity and Neurophysiology RAS"
Nuidel Irina Vladimirovna, Institute of Applied Physics of the Russian Academy of Sciences
Yakhno Vladimir Grigorevich, Institute of Applied Physics of the Russian Academy of Sciences

Now models (simulators) of neural networks are actively developed. Their architecture and design are based on features of structure and principles of work of real neurons and neurobiological systems. Working out neurolike models based on the data about architecture of connections in a brain, it is aimed at finding-out of principles of work of its neural structures. In experimental researches it is revealed that interconnected neuronal modules such as cortex, reticular modules of thalamus, specific thalamus play the important role in processes of information processing. Therefore it is very important to find out, how the entrance signal in these structures of a brain will be transformed, and what internal processes can limit and completely break their teamwork. One of variants of such processes is the epilepsy. At this paper results of last calculations on functional model of interaction neurolike modules in the course of information processing in thalamocortical system are presented. The model is realized in the environment of MATLAB 7.7.0 and this is the advanced and corrected version of earlier model.

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