Study about Classical Soliton Theory for Dynamics and Evolution of in Network

Abstract

This study presents the dynamic model of the soliton. Based on this model, it is supposed to study the state of the network. A neuron in the human brain can have thousands of synaptic connections to other neurons. The resulting network of connected neurons in the cortex is responsible for processing visual, audio, and sensory data. Artificial neural networks use a highly simplified model for the fundamental computing unit-the neuron. In the presence of different chirality, three states are possible, with positive chirality, the signal is transmitted without loss, with negative chirality, the signal creates pulsations in certain parts of the axon. In the absence of a signal, a chaotic self-excitation is observed in the axon.