Computational network

Details Computational network Computational network

1989-01-04

1990-02-13

Mottola, Steven

Boots, shoes, and leggings

364513, G06G 702

Patent

active

049012711

ABSTRACT:
A new associative computation network that is capable of storing multi-bit vectors includes a decision network and a feedback arrangement that, functionally, is separable into serially connected networks. The first network has its inputs connectd to the outputs of the decision network and is arranged to develop sets of excitatory and inhibitory drive signals. Each set corresponds to a stored vecor. For each different output state of the decision network, a different one of the drive signal sets appears at the output of the first network. The output leads of the first network, which may also be employed as the input interface leads, are connected to the second network. The second network develops output signals, applied to inputs of the decision network, which are proportional to the projection of the input signals applied to the second network on the stored vectors.

REFERENCES:
patent: 4560977 (1985-12-01), Murakami et al.
patent: 4737929 (1988-04-01), Denker
patent: 4782460 (1988-11-01), Spencer
"Neurons With Graded Response Have Collective Computational Properties Like Those of Two-state Neurons", J. J. Hopfield. Proc. Natl. Sci., U.S.A. (1984), vol. 81, pp. 3088-3092.
"`Neural` Computation of Decisions in Optimization Problems", J. J. Hopfield & D. W. Tank, Biological Cybernetics, (1985), vol. 52, pp. 141-152.
"New Deigns for Associative, Content Addressable memory", E. Baum, J. Moody and F. Wilczck, 15 pages.

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