Neurocomputation by Reaction Diffusion

28 August 1995

journal article
research article
Published by American Physical Society (APS) in Physical Review Letters

Vol. 75 (9) , 1863-1866
https://doi.org/10.1103/physrevlett.75.1863

Abstract

This Letter demonstrates the possible role nonsynaptic diffusion neurotransmission may play in neurocomputation using an artificial neural network model. A reaction-diffusion neural network model with field-based information-processing mechanisms is proposed. The advantages of nonsynaptic field neurotransmission from a computational viewpoint demonstrated in this Letter include long-range inhibition using only local interaction, nonhardwired and changeable (target specific) long-range communication pathways, and multiple simultaneous spatiotemporal organization processes in the same medium.

Keywords

This publication has 12 references indexed in Scilit:

Nonsynaptic diffusion neurotransmission (NDN) in the brain
Neurochemistry International, 1993
Neurotransmission in the brain by diffusion through the extracellular fluid
NeuroReport, 1993
The CNN is universal as the Turing machine
IEEE Transactions on Circuits and Systems I: Regular Papers, 1993
Pattern formation in biology: a comparison of models and experiments
Reports on Progress in Physics, 1992
The ART of adaptive pattern recognition by a self-organizing neural network
Computer, 1988
Molecular regulators of brain function: A new view
Neuroscience, 1984
Self-organized formation of topologically correct feature maps
Biological Cybernetics, 1982
How patterned neural connections can be set up by self-organization
Proceedings of the Royal Society of London. B. Biological Sciences, 1976
A theory of biological pattern formation
Biological Cybernetics, 1972
The chemical basis of morphogenesis
Philosophical Transactions of the Royal Society of London. B, Biological Sciences, 1952