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A programmable interface to neuromolecular computing networks.

Authors
  • Akingbehin, K1
  • 1 Department of Computer and Information Science, University of Michigan-Dearborn 48128, USA.
Type
Published Article
Journal
Biosystems
Publisher
Elsevier
Publication Date
Jan 01, 1995
Volume
35
Issue
2-3
Pages
223–227
Identifiers
PMID: 7488721
Source
Medline
License
Unknown

Abstract

A programmable interface is provided to a simulated network of reaction-diffusion neurons. The interface allows special 'learn' and 'decide' syntactic constructs to be intermixed with conventional programming constructs. This hybrid combination allows the power of programmability to be combined with the power of adaptability to provide innovative solutions to complex problems. The network uses reaction-diffusion neurons instead of adaline neurons. A mesh topology is used instead of a feedforward topology. The performance of the mesh reaction-diffusion network compares favorably with that of conventional feedforward adaline networks. Enhancements to incorporate short- and long-term memory are described.

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