We study a p-adic reaction-diffusion system and the associated Turing patterns. We establish an instability criteria and show that the Turing patterns are not classical patterns consisting of alternating domains. Instead of this, a Turing pattern consists of several domains (clusters), each of them supporting a different pattern but with the same parameter values. This type of patterns are typically produced by reaction-diffusion equations on large networks
We compare spot patterns generated by Turing mechanisms with those generated by replication cascades...
We compare spot patterns generated by Turing mechanisms with those generated by replication cascades...
The Turing, or reaction-diffusion (RD), model is one of the best-known theoretical models used to ex...
AbstractReaction-diffusion, or Turing, models have been proposed to account for a number of pattern ...
Turing instability in activator-inhibitor systems provides a paradigm of nTuring instability in acti...
Reaction-diffusion, or Turing, models have been proposed to account for a number of pattern formatio...
Reaction-diffusion, or Turing, models have been proposed to account for a number of pattern formatio...
In this paper we establish a general theoretical framework for Turing diffusion-driven instability f...
Turing pattern provides a paradigm of non-equilibrium self-organization in reaction-diffusion system...
Self-organizing patterns arise in a variety of ways in nature, the complex patterning observed on an...
Turing theory plays an important role in real biological pattern formation problems, such as solid t...
Turing instability in activator-inhibitor systems provides a paradigm of nTuring instability in acti...
Turing instability in activator-inhibitor systems provides a paradigm of nTuring instability in acti...
Pattern formation in many biological systems takes place during growth of the underlying domain. We ...
Long after Turing's seminal Reaction-Diffusion (RD) model, the elegance of his fundamental equations...
We compare spot patterns generated by Turing mechanisms with those generated by replication cascades...
We compare spot patterns generated by Turing mechanisms with those generated by replication cascades...
The Turing, or reaction-diffusion (RD), model is one of the best-known theoretical models used to ex...
AbstractReaction-diffusion, or Turing, models have been proposed to account for a number of pattern ...
Turing instability in activator-inhibitor systems provides a paradigm of nTuring instability in acti...
Reaction-diffusion, or Turing, models have been proposed to account for a number of pattern formatio...
Reaction-diffusion, or Turing, models have been proposed to account for a number of pattern formatio...
In this paper we establish a general theoretical framework for Turing diffusion-driven instability f...
Turing pattern provides a paradigm of non-equilibrium self-organization in reaction-diffusion system...
Self-organizing patterns arise in a variety of ways in nature, the complex patterning observed on an...
Turing theory plays an important role in real biological pattern formation problems, such as solid t...
Turing instability in activator-inhibitor systems provides a paradigm of nTuring instability in acti...
Turing instability in activator-inhibitor systems provides a paradigm of nTuring instability in acti...
Pattern formation in many biological systems takes place during growth of the underlying domain. We ...
Long after Turing's seminal Reaction-Diffusion (RD) model, the elegance of his fundamental equations...
We compare spot patterns generated by Turing mechanisms with those generated by replication cascades...
We compare spot patterns generated by Turing mechanisms with those generated by replication cascades...
The Turing, or reaction-diffusion (RD), model is one of the best-known theoretical models used to ex...