Cellular organization by self-organization

The concept of self-organization in cellular architecture

In vivo microscopy has recently revealed the dynamic nature of many cellular organelles. The dynamic properties of several cellular structures are consistent with a role for self-organization in their formation, maintenance, and function; therefore, self-organization might be a general principle in cellular organization.

Causal Architecture, Complexity and Self-Organization in Time Series and Cellular Automata

All self-respecting nonlinear scientists know self-organization when they see it: except when we disagree. For this reason, if no other, it is important to put some mathematical spine into our floppy intuitive notion of self-organization. Only a few measures of self-organization have been proposed; none can be adopted in good intellectual conscience. To find a decent formalization of self-organ...

Quantifying Self-Organization in Cyclic Cellular Automata

Cyclic cellular automata (CCA) are models of excitable media. Started from random initial conditions, they produce several different kinds of spatial structure, depending on their control parameters. We introduce new tools from information theory that let us calculate the dynamical information content of spatial random processes. This complexity measure allows us to quantitatively determine the...

Cellular topographic self-organization under correlational learning

We consider two layered binary state neural networks in which cellular topographic self-organization occurs under correlational learning. The main result is that for separable input relations, a mapping is topographic if it is stable and vice versa.

Field Based Behavior Regulation for Self-Organization in Cellular Systems

Simulating self-organization for multi-robot systems

How do multiple robots self-organize into global patterns based on local communications and interactions? This paper describes a theoretical and simulation model called “Digital Hormone Model” (DHM) for such a self-organization task. The model is inspired by two facts: complex biological patterns are results of self-organization of homogenous cells regulated by hormone-like chemical signals [6]...