Paper
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 +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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