Physics of Biology


Spatiotemporal Pattern Generation using Frequency Dependent Chaos (Towards Tunable Evolution and Emergence)

Authors: Sai Venkatesh Balasubramanian

A novel kind of chaos dependent on frequency and offering the twin advantages of easy tunability and simplicity of implementation is proposed, using which, a simple methodology to generate a chaotic signal is designed and implemented in hardware using FPGA, and the generated chaos is characterized using standard parameters such as Lyapunov Exponents and Kolmogorov Entropy. This temporal signal is used as the basis acting on a spatial propagation rule to generate spatiotemporal patterns. The generated patterns and their dependence on the spatial and temporal rules are studied. The distinguishing features of the obtained spatiotemporal patterns are simplicity of implementation, richness of features observed and a temporal rather than a spatial basis for generation, leading to implementation without employing memory consuming neighbourhood rules, which form the highlights of the present work. The generation of spatiotemporal patterns is seen as a road to tunable evolution and emergence, and finds immense applications such as bar code and random number generators.

Comments: 7 Pages.

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Submission history

[v1] 2015-10-28 20:37:37

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