Potential dynamics of the human striate cortex cerebrum realistic neural network under the influence of an external signal

Leonid A. Melnikov; Anna V. Novosselova; Nadejda V. Blinova; Sergey I. Vinitsky; Vladislav V. Serov; Valery V. Bakutkin; T. G. Camenskich; E. V. Guileva

doi:10.1117/12.380134

20 March 2000 Potential dynamics of the human striate cortex cerebrum realistic neural network under the influence of an external signal

Leonid A. Melnikov, Anna V. Novosselova, Nadejda V. Blinova, Sergey I. Vinitsky, Vladislav V. Serov, Valery V. Bakutkin, T. G. Camenskich, E. V. Guileva

Author Affiliations +

Proceedings Volume 4002, Saratov Fall Meeting '99: Laser Physics and Spectroscopy; (2000) https://doi.org/10.1117/12.380134
Event: Saratov Fall Meeting '99, 1999, Saratov, Russian Federation

Abstract

In this work the numerical investigations of a potential dynamics of a neural network as the non-linear system and dynamics of the visual nerve which connect the eye retina receptors with the striate cortex cerebrum as the answer to the through-skin excitement of the eye retina by the electrical signal were realized. The visual evoked potential is the answer and characterizes the human brain state over the structures retina state and the conduction of the visual nerve fibers. The results of these investigations were presented. Specific features of the neural network, such as the excitation and depression, we took into account too. The discussion about the model parameters, used at the time of the numerical investigation, was made. The comparative analysis of the retina potential data and the data of the external signal filing by the brain hemicerebrum visual centers was made too.

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Leonid A. Melnikov, Anna V. Novosselova, Nadejda V. Blinova, Sergey I. Vinitsky, Vladislav V. Serov, Valery V. Bakutkin, T. G. Camenskich, and E. V. Guileva "Potential dynamics of the human striate cortex cerebrum realistic neural network under the influence of an external signal", Proc. SPIE 4002, Saratov Fall Meeting '99: Laser Physics and Spectroscopy, (20 March 2000); https://doi.org/10.1117/12.380134

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KEYWORDS

Neurons

Retina

Visualization

Brain

Neural networks

Eye

Visual analytics

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