Semiconductor neural network and method of driving the same

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364513, 364579, 307201, G06F 700

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active

050219880

ABSTRACT:
A semiconductor neural network includes a plurality of data input line pairs to which complementary input data pairs are transmitted respectively, data output line pairs respectively deriving complementary output data pairs and a plurality of coupling elements arranged at respective crosspoints of the data input lines and the data output lines. The coupling elements are programmable in states, and couple corresponding data output lines and corresponding data input lines in accordance with the programmed states thereof. Differential amplifiers formed by cross-coupled inverting amplifiers are provided in order to detect potentials on the data output lines. The differential amplifiers are provided for respective ones of the data output line pairs.

REFERENCES:
patent: 4580245 (1986-04-01), Ziegler et al.
patent: 4660166 (1987-04-01), Hopfield
patent: 4782460 (1988-11-01), Spencer
patent: 4874963 (1989-10-01), Alspector
H. P. Graf et al., "VLSI Implementation of a Neural Network Model", Computer, IEEE, Mar. 1988, pp. 41-49.
J. Alspector et al, "A Neuromorphic VLSI Learning System", Advanced Research in VLSI 1987 (MIT Press Publication Corporation (1987)), pp. 313-327.

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