MODEL OF DINAMICS OF A BIOLOGICAL NEURAL NETWORK WITH HYSTERETIC CONNECTIONS
In this work we investigated the dynamic of biological neural networks based on modified mathematical model of Kashchenko - Maiorov. We performed a simulation launch of endogenous processes, the formation of membrane depolarization of the neuron in the synopsis, and synchronization of neuronal ensembles under the influence of metabotropic receptive cluster, subject to hysteresis connexions and the type of impact (chemical or electrical). To describe the hysteresis dependencies that arise in the process of the neural network working, we used a phenomenological model of Bouc-Wen.