Molecular Computing with Artificial Neurons
Molecular Computing with Artificial Neurons
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 sensitive pattern recognizer. We describe a tabletop pattern processor that in a rough way can be analogized to a neuron whose input-output behavior is controlled by enzymatic dynamics.
78-89
Conrad, M.
5b4c1f50-0b05-4e39-abc5-8cab4e408ac8
Zauner, K.-P.
c8b22dbd-10e6-43d8-813b-0766f985cc97
2000
Conrad, M.
5b4c1f50-0b05-4e39-abc5-8cab4e408ac8
Zauner, K.-P.
c8b22dbd-10e6-43d8-813b-0766f985cc97
Conrad, M. and Zauner, K.-P.
(2000)
Molecular Computing with Artificial Neurons.
Journal of the Korean Data & Information Science Society, 18 (8), .
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 sensitive pattern recognizer. We describe a tabletop pattern processor that in a rough way can be analogized to a neuron whose input-output behavior is controlled by enzymatic dynamics.
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ConradM00MolCompArtfNeuro.pdf
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Published date: 2000
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 259141
URI: http://eprints.soton.ac.uk/id/eprint/259141
ISSN: 1598-9402
PURE UUID: 648395f8-2004-41b1-b1c5-e7055e93596f
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Date deposited: 12 Mar 2004
Last modified: 14 Mar 2024 06:20
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Author:
M. Conrad
Author:
K.-P. Zauner
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