The dynamical features of Random Boolean Networks (RBN) are examined, in the case where a scale-free distribution of outgoing connectivities is introduced. RBN are known to display two major dynamical behaviours, depending upon the value of some model parameters, In the ordered regime the number of attractors is a growing polynomial function of the number of nodes N, while in the chaotic regime the growth is exponential. We present here a modification of the classical way of building a RBN, which maintains the property that all the nodes have the same number of incoming links, but which gives rise to a scale-free distribution of outgoing connectivities. Because of this modification, the dynamical properties are deeply modified: the number o...
Random boolean networks are a model of genetic regulatory networks that has proven able to describe ...
Random boolean networks are a model of genetic regulatory networks that has proven able to describe ...
Random boolean networks are a model of genetic regulatory networks that has proven able to describe ...
The dynamical features of Random Boolean Networks (RBN) are examined, in the case where a scale-free...
In the classical model of Random Boolean Networks (RBN) the number of incoming connectionsis the sam...
In the classical model of Random Boolean Networks (RBN) the number of incoming connectionsis the sam...
The dynamics of Boolean networks with scale-free topology are studied. The existence of a phase tran...
In this paper we investigate how the dynamics of a set of coupled RandomBoolean Netowrks is aected b...
In this paper we investigate how the dynamics of a set of coupled RandomBoolean Netowrks is aected b...
Boolean networks are a popular modeling framework in computational biology to capture the dynamics o...
Despite their apparent simplicity, random Boolean networks display a rich variety of dynamical behav...
Random Boolean networks are used as generic models for the dynamics of complex systems of interactin...
Random Boolean networks are used as generic models for the dynamics of complex systems of interactin...
none6noRandom boolean networks are a model of genetic regulatory networks that has proven able to de...
Since real networks are noisy systems, in this work we investigate thedynamics of the random Boolean...
Random boolean networks are a model of genetic regulatory networks that has proven able to describe ...
Random boolean networks are a model of genetic regulatory networks that has proven able to describe ...
Random boolean networks are a model of genetic regulatory networks that has proven able to describe ...
The dynamical features of Random Boolean Networks (RBN) are examined, in the case where a scale-free...
In the classical model of Random Boolean Networks (RBN) the number of incoming connectionsis the sam...
In the classical model of Random Boolean Networks (RBN) the number of incoming connectionsis the sam...
The dynamics of Boolean networks with scale-free topology are studied. The existence of a phase tran...
In this paper we investigate how the dynamics of a set of coupled RandomBoolean Netowrks is aected b...
In this paper we investigate how the dynamics of a set of coupled RandomBoolean Netowrks is aected b...
Boolean networks are a popular modeling framework in computational biology to capture the dynamics o...
Despite their apparent simplicity, random Boolean networks display a rich variety of dynamical behav...
Random Boolean networks are used as generic models for the dynamics of complex systems of interactin...
Random Boolean networks are used as generic models for the dynamics of complex systems of interactin...
none6noRandom boolean networks are a model of genetic regulatory networks that has proven able to de...
Since real networks are noisy systems, in this work we investigate thedynamics of the random Boolean...
Random boolean networks are a model of genetic regulatory networks that has proven able to describe ...
Random boolean networks are a model of genetic regulatory networks that has proven able to describe ...
Random boolean networks are a model of genetic regulatory networks that has proven able to describe ...