Evolution of Heterogeneous Network Modules via Maximization of Bidirectional Information Transmission

Abstract

In theoretical studies, it has been proposed that maximizing information transmission between subsystems can be a principle for the development and evolution of complex brain networks. In this article, we study how heterogeneous modules develop in coupled-map networks through evolutionary processes, where selection pressure is to maximize bidirectional information transmission. Emergence of heterogeneous structure is demonstrated, showing that maximization of bidirectional information transmission between interacting modules can act as selection pressure to enhance differentiation between interacting modules.