Associative memory integrated circuit based on neural mutual inhibition

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Associative memory integrated circuit based on neural mutual inhibition

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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. We 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 we present the design and silicon implementation of an RCAM 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 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.

Inspec keywords: integrated memory circuits; CMOS integrated circuits; neural nets; computerised pattern recognition; content-addressable storage

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

Subjects: Neural nets (circuit implementations); Memory circuits; Optical information, image and video signal processing; Associative storage; Computer vision and image processing techniques; Neural net devices; CMOS integrated circuits; Semiconductor storage

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