Communications of the Korean Institute of Information Scientists and Engineers (정보과학회지)
- Volume 18 Issue 8
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- Pages.78-89
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- 2000
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- 1229-6821(pISSN)
Molecular Computing with Artificial Neurons
- Michael Conrad (Department of Computer Science , Wayne State University) ;
- Zauner, Klaus-Peter (Department of Computer Science , Wayne State University)
- Published : 2000.08.01
Abstract
Today's computers are built up from a minimal set of standard pattern recognition operations. Logic gates, such as NAND, are common examples. Biomolecular materials offer an alternative approach, both in terms of variety and context sensitivity. Enzymes, the basic switching elements in biological cells, are notable for their ability to discriminate specific molecules in a complex background and to do so in a manner that is sensitive to particular milieu features and indifferent to others, The enzyme, in effect, is a powerful context sensitivity pattern processor that in a rough way can be analogized to a neuron whose input-output behavior is controlled by enzymatic dynamics.
Keywords
- artificial neural networks;
- pattern recognition;
- biological information processing;
- enzyme kinetics;
- signal processing