Modeling of normal and pathological sensor activity image transformation versions in an animal's cortex

G. D. Kuznetsova; Irina V. Nuidel; P. G. Khurlapov; Vladimir G. Yakhno

doi:10.1117/12.304984

1 April 1998 Modeling of normal and pathological sensor activity image transformation versions in an animal's cortex

G. D. Kuznetsova, Irina V. Nuidel, P. G. Khurlapov, Vladimir G. Yakhno

Proceedings Volume 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks; (1998) https://doi.org/10.1117/12.304984
Event: Optical Information Science and Technology, 1997, Moscow, Russian Federation

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.

Citation Download Citation

G. D. Kuznetsova, Irina V. Nuidel, P. G. Khurlapov, and Vladimir G. Yakhno "Modeling of normal and pathological sensor activity image transformation versions in an animal's cortex", Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); https://doi.org/10.1117/12.304984

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