An introduction to symbolic dynamics and coding
An introduction to symbolic dynamics and coding
Fundamentals of Artificial Neural Networks
Fundamentals of Artificial Neural Networks
State-space analysis of Boolean networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Observability of Boolean networks: A graph-theoretic approach
Automatica (Journal of IFAC)
Hi-index | 22.14 |
We consider Boolean control networks (BCNs), and in particular Boolean networks (BNs), in the framework of symbolic dynamics (SD). We show that the set of state-space trajectories of a BCN is a shift space of finite type (SFT). This observation allows us to extend two important analysis tools from SD, namely, the Artin-Mazur zeta function and the topological entropy, to BNs and BCNs. Some of the theoretical results are illustrated using a BCN model of the core network regulating the mammalian cell cycle.