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arXiv · 1212.2821

On Memory and Structural Dynamism in Excitable Cellular Automata with Defensive Inhibition

Ramon Alonso-Sanz·Andrew Adamatzky
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Abstract

Commonly studied cellular automata are memoryless and have fixed topology of connections between cells. However by allowing updates of links and short-term memory in cells we may potentially discover novel complex regimes of spatio-temporal dynamics. Moreover by adding memory and dynamical topology to state update rules we somehow forge elementary but non-traditional models of neurons networks (aka neuron layers in frontal parts). In present paper we demonstrate how this can be done on a self-inhibitory excitable cellular automata. These automata imitate a phenomenon of inhibition caused by high-strength stimulus: a resting cell excites if there are one or two excited neighbors, the cell remains resting otherwise. We modify the automaton by allowing cells to have few-steps memories, and make links between neighboring cells removed or generated depending on states of the cells.

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BibTeXRIS

Ramon Alonso-Sanz, Andrew Adamatzky. 2012-12-12. On Memory and Structural Dynamism in Excitable Cellular Automata with Defensive Inhibition. https://doi.org/10.1142/s0218127408020458

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