Information processing in the Lorenz-Turing neuron

Author

Kirby, Kevin G.

Author_Institution

Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA

fYear

1989

fDate

9-12 Nov 1989

Firstpage

1358

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEMBS.1989.96239

Filename

96239