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

Article type: Research Article

Authors: Giannoukos, Georgios^* | Kakarountas, Athanasios | Chioktour, Vasileios

Affiliations: Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece

Correspondence: [*] Corresponding author: Georgios Giannoukos, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece. E-mail: g.giannoukos@gmail.com.

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.

Keywords: Cells, recurrent neural network, impedance

DOI: 10.3233/JCM-204367

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 21, no. 2, pp. 293-299, 2021