We study the complexity of network dynamics in a couple of very different model classes: The traditional random Boolean networks (RBN) and Frisch-Hasslacher-Pomeau lattice gas automata (FHP). For this we formulate the FHP dynamics as a probabilistic Boolean network (PBN). We use the set complexity of successive network states to assess the complexity of the dynamics. We find that the complexity is maximised near a transition state in both types of dynamical systems.Peer reviewe
<p><b>.</b> (A–B): Set complexity trajectories of single simulations of (A) and (B) networks. The ...
<div><p>We provide a novel refined attractor-based complexity measurement for Boolean recurrent neur...
<p>This dissertation focuses on Boolean networks with a view to their applications in Systems Biolog...
Boolean networks have been used as a discrete model for several biological systems, including metabo...
Boolean networks have been used as a discrete model for several biological systems, including metabo...
<p>This dissertation presents three studies on Boolean networks. Boolean networks are a class of mat...
Boolean networks are a popular modeling framework in computational biology to capture the dynamics o...
In this dissertation, we study the statistical mechanics of Boolean networks as a simple model in cl...
Canalization is a property of Boolean automata that characterizes the extent to which subsets of inp...
Boolean networks are models of genetic regulatory networks. S. Kauff-man based many of his claims ab...
Random Boolean networks are used as generic models for the dynamics of complex systems of interactin...
International audienceBecause interaction networks occupy more and more space in our current life (s...
The dynamical features of Random Boolean Networks (RBN) are examined, in the case where a scale-free...
While there have been many papers respectively on the qualities of Boolean networks and Cellular Aut...
We extend the study of learning and generalization in feed forward Boolean networks to random Boolea...
<p><b>.</b> (A–B): Set complexity trajectories of single simulations of (A) and (B) networks. The ...
<div><p>We provide a novel refined attractor-based complexity measurement for Boolean recurrent neur...
<p>This dissertation focuses on Boolean networks with a view to their applications in Systems Biolog...
Boolean networks have been used as a discrete model for several biological systems, including metabo...
Boolean networks have been used as a discrete model for several biological systems, including metabo...
<p>This dissertation presents three studies on Boolean networks. Boolean networks are a class of mat...
Boolean networks are a popular modeling framework in computational biology to capture the dynamics o...
In this dissertation, we study the statistical mechanics of Boolean networks as a simple model in cl...
Canalization is a property of Boolean automata that characterizes the extent to which subsets of inp...
Boolean networks are models of genetic regulatory networks. S. Kauff-man based many of his claims ab...
Random Boolean networks are used as generic models for the dynamics of complex systems of interactin...
International audienceBecause interaction networks occupy more and more space in our current life (s...
The dynamical features of Random Boolean Networks (RBN) are examined, in the case where a scale-free...
While there have been many papers respectively on the qualities of Boolean networks and Cellular Aut...
We extend the study of learning and generalization in feed forward Boolean networks to random Boolea...
<p><b>.</b> (A–B): Set complexity trajectories of single simulations of (A) and (B) networks. The ...
<div><p>We provide a novel refined attractor-based complexity measurement for Boolean recurrent neur...
<p>This dissertation focuses on Boolean networks with a view to their applications in Systems Biolog...