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Proceedings Paper

Modeling of normal and pathological sensor activity image transformation versions in an animal's cortex
Author(s): G. D. Kuznetsova; Irina V. Nuidel; P. G. Khurlapov; Vladimir G. Yakhno
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Paper Abstract

At this paper it was supposed that the epileptiformic activity of the cortex can be explained by the self- excitation regimes of the interrupted sensor data transformation mechanism. To describe signal transformation processes, we used a three-component mathematical model of ensembles of neuron-like elements. Activity structures in the chosen `basic' models were analyzed by a special research system developed in the interface of the Windows operation system. We considered examples of the evolution of spatial activity structures by extraction of simple features of the initial signal as an analog of normal functional modes of the cortex. We found the parameters of the system which ensure burst modes of epileptiformic activity in a three-component model of neural network.

Paper Details

Date Published: 1 April 1998
PDF: 14 pages
Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); doi: 10.1117/12.304984
Show Author Affiliations
G. D. Kuznetsova, Institute of Higher Neural Activity and Neural Physiology (Russia)
Irina V. Nuidel, Institute of Applied Physics (Russia)
P. G. Khurlapov, Institute of Applied Physics (Russia)
Vladimir G. Yakhno, Institute of Applied Physics (Russia)

Published in SPIE Proceedings Vol. 3402:
Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks
Andrei L. Mikaelian, Editor(s)

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