COLLECTIVE COMPUTATION IN NEURONLIKE CIRCUITS.

TY - JOUR

T1 - COLLECTIVE COMPUTATION IN NEURONLIKE CIRCUITS.

AU - Tank, David W.

AU - Hopfield, John J.

PY - 1987

Y1 - 1987

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0023493211

UR - https://www.scopus.com/pages/publications/0023493211#tab=citedBy

U2 - 10.1038/scientificamerican1287-104

DO - 10.1038/scientificamerican1287-104

M3 - Article

C2 - 3452925

SN - 0036-8733

VL - 257

SP - 9p between p 104 and 114

JO - Scientific American

JF - Scientific American

IS - 6

ER -