An analog continuous-time micropower Hopfield net

Author

Abusland, Aanen ; Lande, Tor S.

Author_Institution

Inst. of Inf., Oslo Univ., Norway

Volume

3

fYear

1994

fDate

27 Jun-2 Jul 1994

Firstpage

1860

Abstract

Presents the building blocks for an analog continuous-time micropower CMOS Hopfield associative memory with local adaptation and storage of weights, a synaptic connection circuit, an analog memory, a memory programming circuit and an artificial neuron. The building blocks are modular, allowing a net of any size to be built. The weight adaption is by the outer product rule. The analog memory works by exposure to UV-light. A six neuron net, intended for storage and retrieval of two patterns, was implemented in a standard 2μm CMOS process

Keywords

CMOS analogue integrated circuits; Hopfield neural nets; analogue processing circuits; content-addressable storage; continuous time systems; neural chips; 2 μm CMOS process; analog continuous-time micropower CMOS Hopfield associative memory; analog memory; artificial neuron; local adaptation; memory programming circuit; outer product rule; synaptic connection circuit; weight adaption; Analog computers; Analog memory; Associative memory; CMOS process; Circuits; Equations; Hopfield neural networks; Neural networks; Neurons; Parallel processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1901-X

Type

conf

DOI

10.1109/ICNN.1994.374441

Filename

374441