Artificial neurons using delta-sigma modulation

Details Artificial neurons using delta-sigma modulation Artificial neurons using delta-sigma modulation

1997-05-27

1998-06-16

Davis, George B.

395 22, 395 27, G06F 1518, G06F 1540

Patent

active

057684782

ABSTRACT:
An artificial neuron for use in a neural processing network comprises a plurality of input signal lines, an arrangement for computing a nonlinear function of the sum of the inputs multiplied by associated weights, and a saturating delta-sigma modulator which oversamples the computed value and produces an encoded neuron output signal. Conversion of signals for use by these neurons preferably is performed by delta-sigma modulators at the inputs to the neurons, which may be incorporated directly into sensors. Processing of the output signals from the neuron includes low-pass filtering and decimation. The present invention may be used in many diverse areas. For example, arrays of sensors with delta signal modulators may be coupled with a network of the neurons to form an intelligent vision system. Linear signal processing, both conventional and adaptive, can be done by a simple neuronal system that operates linearly.

REFERENCES:
patent: 5208872 (1993-05-01), Fisher
patent: 5649069 (1997-07-01), Gobert
Candy, James C., et al, "Oversampling Delta-Sigma Data Converters Theory, Design, and Simulation," The Institute of Electrical and Electronics Engineers, Inc., New York, 1992.
Park et al, Principles of Sigma--Delta Modulation for Analog-to-Digital Converters, Motorola, Inc., Apr. 8, 1990.
Oppenheim, Alan, et al, "Digital Signal Processing", Prentice-Hall, Inc. Englewood Cliffs, New Jersey, pp. 413-432, 1975.
Watanabe, Takao, et al, "A Single 1-5-V Digital Chip for a 10.sup.6 Synapse Neural Network," IEEE Transactions on Neural Networks, vol. 4, No. 3, May 1993.

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