The dynamic model of the soliton is presented in this research. It is meant to investigate the state of the network using this model. A neuron can have millions of synaptic connections to other neurons in the human brain. The cortex’s resultant network of linked neurons is in charge of processing visual, auditory, and sensory information. The core processing unit of artificial neural networks is the neuron, which is represented by a very simplified model. Three states are conceivable in the presence of varying chirality: positive chirality transmits the signal without loss; negative chirality causes pulsations in some portions of the axon. In the absence of a signal, the axon exhibits chaotic self-excitation.

Author(s) Details:

Sergey Belyakin,
Department of General Physics, Physics Faculty, Lomonosov Moscow State University, Moscow, Russia.

Sergey Shuteev,
Department of General Physics, Physics Faculty, Lomonosov Moscow State University, Moscow, Russia and Laboratory of Dynamic Systems, Physics Faculty, Lomonosov Moscow State University, Moscow, Russia.

Please see the link here: https://stm.bookpi.org/NTPSR-V2/article/view/6620