Interaction between two cells based on a recurrent neural network using the impedance concept

Abstract

In this paper the dynamic behavior of the cells of the immune system is studied through the use of a mathematical and physical model developed using artificial neural networks. Simulations were obtained by solving the equation for the appropriate neuron models, in particular a two cell module. By calculating the equilibrium point of the system and taking into account the bioimpedance of the linearized model, we can determine whether the system is stable or not and whether a self immune disease is developing.