Information processing in the Lorenz-Turing neuron

The classical reaction-diffusion model of morphogenesis is considered as a foundation for one mode of information processing within neurons, and is exemplified by the enzymatic neuron model. Such a model has previously been shown to capture details of the intraneuronal cyclic nucleotide systems and its information processing capabilities have been exploited for artificial intelligence tasks. The model is extended to encompass chaotic endogenous dynamics, its interaction and interference with the diffusion of excitation are studied, and implications for harnessing the system as a computing device are examined.<>