MACROSCOPIC MODEL OF VISUAL PROCESSING IN BRAIN STRUCTURES IN NORMAL CONDITION AND DESCRIPTION OF THE TRANSITION TO EPILEPTIFORM REGIME


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Nujdel I. V., Sokolov М. Е., 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


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.

 

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10.18500/0869-6632-2015-23-5-92-106
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@article{Нуйдель -IzvVUZ_AND-23-5-92,
author = {I. V. Nujdel and М. Е. Sokolov and V. G. Yakhno },
title = {MACROSCOPIC MODEL OF VISUAL PROCESSING IN BRAIN STRUCTURES IN NORMAL CONDITION AND DESCRIPTION OF THE TRANSITION TO EPILEPTIFORM REGIME},
year = {2015},
journal = {Izvestiya VUZ. Applied Nonlinear Dynamics},
volume = {23},number = {5},
url = {http://andjournal.sgu.ru/en/articles/macroscopic-model-of-visual-processing-in-brain-structures-in-normal-condition-and},
address = {Саратов},
language = {russian},
doi = {10.18500/0869-6632-2015-23-5-92-106},pages = {92--106},issn = {0869-6632},
keywords = {Neural network emulators,neuromorphic model,modeling of sensory signal transformation in the thalamocortical neuronal ensembles,thalamocortical circuit,modeling of epilepsy,corticothalamic interactions.},
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.   Download full version }}