COLLECTIVE COMPUTATION IN NEURONLIKE CIRCUITS.

David W. Tank; John J. Hopfield

doi:10.1038/scientificamerican1287-104

COLLECTIVE COMPUTATION IN NEURONLIKE CIRCUITS.

David W. Tank, John J. Hopfield

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Abstract

Electronic circuits based on neurobiological models are able to solve complex problems rapidly. Their computational properties emerge from the collective interaction of many parts linked together in a network. The fact that biological computation is so effective suggests that it may be possible to attain similar capabilities in artificial devices based on the design principles of neural systems. The authors have studied a number of 'neural network' electronic circuits that can carry out significant computations.

Original language	English (US)
Pages (from-to)	9p between p 104 and 114
Journal	Scientific American
Volume	257
Issue number	6
DOIs	https://doi.org/10.1038/scientificamerican1287-104
State	Published - 1987

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title = "COLLECTIVE COMPUTATION IN NEURONLIKE CIRCUITS.",

abstract = "Electronic circuits based on neurobiological models are able to solve complex problems rapidly. Their computational properties emerge from the collective interaction of many parts linked together in a network. The fact that biological computation is so effective suggests that it may be possible to attain similar capabilities in artificial devices based on the design principles of neural systems. The authors have studied a number of 'neural network' electronic circuits that can carry out significant computations.",

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COLLECTIVE COMPUTATION IN NEURONLIKE CIRCUITS.

Abstract

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