Dynamics of Biomimetic Electronic Artificial Neural Networks

Abstract

We explore the key aspects of the dynamics of small networks of biomimetic artificial electronic neurons, including the role of local dynamics, network topology and noise. Models include Keener’s and Maeda and Makino’s “minimal” model circuits for FitzHugh-Nagumo neurons as well as the Belousov-Zhabotinsky chemical reaction, the prototype chemical oscillatory system. A wide variety of complex synchronization and emergent behavior is seen. There are potential applications to computer science, biology, and biomedicine.