Neural network accomodating parallel synaptic weight adjustments

Details Neural network accomodating parallel synaptic weight adjustments Neural network accomodating parallel synaptic weight adjustments

1992-03-12

1993-08-17

Hudspeth, David R.

Electrical transmission or interconnection systems

Nonlinear reactor systems

Parametrons

395 24, G06F 700

Patent

active

052372103

ABSTRACT:
A neural network providing correlation learning in a synapse cell coupled to a circuit for parallel implementation of weight adjustment in a broad class of learning algorithms. The circuit provides the learning portion of the synaptic operation and includes a pair of floating gate devices sharing a common floating gate member that stores the connection weight of the cell. Parallel weight adjustments are performed in a predetermined number of cycles utilizing a novel debiasing technique.

REFERENCES:
patent: 4904881 (1990-02-01), Castro
patent: 4906865 (1990-03-01), Holler
patent: 4950917 (1990-09-01), Holler et al.
patent: 4956564 (1990-09-01), Holler et al.
patent: 4961002 (1990-10-01), Tam et al.
patent: 5021693 (1991-06-01), Shima
patent: 5040134 (1991-08-01), Park
patent: 5053638 (1991-10-01), Furutani et al.
patent: 5101361 (1992-03-01), Eberhardt
patent: 5146542 (1992-09-01), Engeler
Mackie, et al., "Implementations of Neural Network Models in Silicon"; Oct., 1987.
Lippman, R., "An Introduction to Computing with Neural Nets"; IEEE ASSP, Apr. 1987.
Hopfield, et al., "Computing with Neural Circuits: A Model"; Science, Aug., 1986.
Graf, et al., "Analog Electronic Neural Network Circuits"; IEEE Circuits and Devices, Jul. 1989.

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