Investigation of the neural network dynamics by means of the evokedpotential as the dependence from the wide-spread different shape lightsignal and the specific neural features

摘要

The effect of the different shapes of external signals (constant,serrated, sinusoidal and others) on the dynamics of the neural networkmodeling visual perception was investigated numerically. The neuralnetwork of the striate cortex cerebrum with all connected neurons wasobserved. The human brain activity responds to the signal spreading in avisual manner (from the retina photoreceptors to the cerebrum). Thevisual evoked potential characterizes the human brain state over thestructural retina state and the conduction of the visual nerve fibres.The results of this investigations were presented. New specific featuresof the neural network, such as the excitation and depression were alsotaken into account too. The cooperative application of the externalsignal and the memory effect has been observed