Title :
Information processing in the Lorenz-Turing neuron
Author_Institution :
Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA
Abstract :
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
Keywords :
neurophysiology; physiological models; Lorenz-Turing neuron; artificial intelligence; chaotic endogenous dynamics; classical reaction-diffusion model; computing device; enzymatic neuron model; excitation diffusion; information processing; intraneuronal cyclic nucleotide systems; morphogenesis; Artificial intelligence; Biological system modeling; Biomembranes; Chaos; Computer science; Information processing; Interference; Neurons; Orbits; Proteins;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96239
