For citation:
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
Simulator of the dynamic processes of sensor signal processing in talamocortical networks
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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