Associative memory integrated circuit based on neural mutual inhibition

Author

Jalaleddine, S.M.S. ; Johnson, L.G.

Author_Institution

Dept. of Electr. Eng., Western Michigan Univ., Kalamazoo, MI, USA

Volume

139

Issue

4

fYear

1992

fDate

8/1/1992 12:00:00 AM

Firstpage

445

Lastpage

449

Abstract

Hardware associative or content-addressable memory (CAM) which finds in one operation the nearest match to input data among several templates is very crucial in the design of effective pattern recognition systems. The authors call this type of memory a relaxative CAM (RCAM) as opposed to the traditional exact-match CAM design. A compact implementation of an RCAM calls for the employment of a neural network model. In the paper the design and silicon implementation of an RCAM is presented using a neural mutual inhibition network as the relaxation circuit. SPICE simulations of the mutual inhibition and the RCAM performance are presented. A 16-word by 12-bit IC has been fabricated through MOSIS using 2 μm double-metal CMOS technology. The RCAM chip was tested and its correct functionality has been fully verified

Keywords

CMOS integrated circuits; computerised pattern recognition; content-addressable storage; integrated memory circuits; neural nets; 192 bit; 2 micron; MOSIS; SPICE simulations; associative memory IC; compact implementation; content-addressable memory; double-metal CMOS technology; neural mutual inhibition; neural network model; pattern recognition systems; relaxation circuit; relaxative CAM;

fLanguage

English

Journal_Title

Circuits, Devices and Systems, IEE Proceedings G

Publisher

iet

ISSN

0956-3768

Type

jour

Filename

160069