AbstractWe present simulation mechanisms by which any network of threshold logic units with either symmetric or asymmetric interunit connections (i.e. a symmetric or asymmetric “Hopfield net”) can be simulated on a network of the same type, but without any a priori constraints on the order of updates of the units. Together with earlier constructions, the results show that the truly asynchronous network model is computationally equivalent to the seemingly more powerful models with either ordered sequential or fully parallel updates
Abstract. To model biological systems using networks, it is de-sirable to allow more than two levels...
An approach to carrying out asynchronous, distributed simulation on multiprocessor message-passing a...
The synthesis of asynchronous circuits is inherently complex for two different aspects. Firstly, the...
We present simulation mechanisms by which any network of threshold logic units with either symmetric...
AbstractWe present here a general and efficient strategy for simulating a synchronous network by a n...
AbstractThis paper deals with finite size networks which consist of interconnections of synchronousl...
Recently, researchers in artificial intelligence have been actively investigating various connection...
An automata network (AN) is a finite graph where each node holds a state from a finite alphabet and ...
International audienceWe prove that the fully asynchronous dynamics of a Boolean network f : {0, 1}^...
In this paper we consider three variants of accepting networks of evolutionary processors. It is kno...
International audienceBoolean networks are commonly used in systems biology to model dynamics of bio...
Two methods are used to speed up the execution of a computational task. One is new technology develo...
An automata network is a finite assembly of interconnected entities endowed with a set of local maps...
We consider a network of interacting processors which communicate by passing messages between them. ...
Abstract. This paper shows the existence of a finite neural network, made up of sigmoidal nen-rons, ...
Abstract. To model biological systems using networks, it is de-sirable to allow more than two levels...
An approach to carrying out asynchronous, distributed simulation on multiprocessor message-passing a...
The synthesis of asynchronous circuits is inherently complex for two different aspects. Firstly, the...
We present simulation mechanisms by which any network of threshold logic units with either symmetric...
AbstractWe present here a general and efficient strategy for simulating a synchronous network by a n...
AbstractThis paper deals with finite size networks which consist of interconnections of synchronousl...
Recently, researchers in artificial intelligence have been actively investigating various connection...
An automata network (AN) is a finite graph where each node holds a state from a finite alphabet and ...
International audienceWe prove that the fully asynchronous dynamics of a Boolean network f : {0, 1}^...
In this paper we consider three variants of accepting networks of evolutionary processors. It is kno...
International audienceBoolean networks are commonly used in systems biology to model dynamics of bio...
Two methods are used to speed up the execution of a computational task. One is new technology develo...
An automata network is a finite assembly of interconnected entities endowed with a set of local maps...
We consider a network of interacting processors which communicate by passing messages between them. ...
Abstract. This paper shows the existence of a finite neural network, made up of sigmoidal nen-rons, ...
Abstract. To model biological systems using networks, it is de-sirable to allow more than two levels...
An approach to carrying out asynchronous, distributed simulation on multiprocessor message-passing a...
The synthesis of asynchronous circuits is inherently complex for two different aspects. Firstly, the...