A stochastic cellular automaton is developed for modeling waves in excitable media. A scale of key features of excitation waves can be reproduced in the presented framework such as the shape, the propagation velocity, the curvature effect and spontaneous appearance of target patterns. Some well-understood phenomena such as waves originating from a point source, double spiral waves and waves around some obstacles of various geometries are simulated. We point out that unlike the deterministic approaches, the present model captures the curvature effect and the presence of target patterns without permanent excitation. Spontaneous appearance of patterns, which have been observed in a new experimental system and a chemical lens effect, which has ...
Motivated by questions in biology and distributed computing, the authors investigate the behaviour o...
Intracellular Ca2 dynamics allows for the observation of wave formation from elemental release eve...
We propose a new biological framework, spatial networks of hybrid input/output automata (SNHIOA), fo...
A stochastic cellular automaton is developed for modeling waves in excitable media. A scale of key f...
Spiral waves are self-repeating waves that can form in excitable media, propagating outward from the...
A new information transmission concept based model of excitable media with continuous outputs of the...
The interaction of waves and obstacles is simulated by adding heterogeneities to a FitzHugh-Nagumo m...
We review the behavior of theoretical models of excitable systems driven by Gaussian white noise. We...
We present a method for mesoscopic, dynamic Monte Carlo simulations of pattern formation in excitabl...
We present a method for mesoscopic, dynamic Monte Carlo simulations of pattern formation in excitabl...
We propose a stochastic cellular automaton method to simulate chemical reactions in small systems. U...
In this paper, we address the question of the discretization of stochastic partial differential equa...
AbstractWe propose a new biological framework, spatial networks of hybrid input/output automata (SNH...
Cellular automata are models that deal with both nature and artefacts: they can indeed simulate livi...
In this thesis, we propose a stochastic cellular-automaton model that is able to simulate oscillator...
Motivated by questions in biology and distributed computing, the authors investigate the behaviour o...
Intracellular Ca2 dynamics allows for the observation of wave formation from elemental release eve...
We propose a new biological framework, spatial networks of hybrid input/output automata (SNHIOA), fo...
A stochastic cellular automaton is developed for modeling waves in excitable media. A scale of key f...
Spiral waves are self-repeating waves that can form in excitable media, propagating outward from the...
A new information transmission concept based model of excitable media with continuous outputs of the...
The interaction of waves and obstacles is simulated by adding heterogeneities to a FitzHugh-Nagumo m...
We review the behavior of theoretical models of excitable systems driven by Gaussian white noise. We...
We present a method for mesoscopic, dynamic Monte Carlo simulations of pattern formation in excitabl...
We present a method for mesoscopic, dynamic Monte Carlo simulations of pattern formation in excitabl...
We propose a stochastic cellular automaton method to simulate chemical reactions in small systems. U...
In this paper, we address the question of the discretization of stochastic partial differential equa...
AbstractWe propose a new biological framework, spatial networks of hybrid input/output automata (SNH...
Cellular automata are models that deal with both nature and artefacts: they can indeed simulate livi...
In this thesis, we propose a stochastic cellular-automaton model that is able to simulate oscillator...
Motivated by questions in biology and distributed computing, the authors investigate the behaviour o...
Intracellular Ca2 dynamics allows for the observation of wave formation from elemental release eve...
We propose a new biological framework, spatial networks of hybrid input/output automata (SNHIOA), fo...