Associative cellular memory

Author

Vanhala, Jukka ; Kaski, Kimmo

Author_Institution

Microelectron. Lab., Tampere Univ. of Technol., Finland

Volume

2

fYear

1994

fDate

27 Jun-2 Jul 1994

Firstpage

1149

Abstract

A new content addressable associative memory structure, associative cellular memory, is proposed. It is composed of simple associative memory cells that are embedded in a regular low dimensional grid and interconnected locally within a neighborhood of a limited distance. This paper describes the ideas behind associative cellular memory and gives an example in the field of pattern recognition. The associative cellular memory, the Kanerva´s sparse distributed memory, and the Hopfield network are compared in terms of memory capacity, run-time efficiency and information density

Keywords

content-addressable storage; Hopfield network; associative cellular memory; content-addressable associative memory structure; information density; local interconnection; memory capacity; pattern recognition; regular low dimensional grid; run-time efficiency; sparse distributed memory; Associative memory; Biological neural networks; Biological system modeling; Brain modeling; CADCAM; Cellular neural networks; Chemical elements; Computer aided manufacturing; Neurons; Random access memory;

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.1994.374345

Filename

374345