DocumentCode :
1440872
Title :
FPGA implementation of biologically-inspired auto-associative memory
Author :
Ang, C.H. ; McEwan, Alistair L. ; van Schaik, Andre ; Jin, C. ; Leong, Philip H. W.
Author_Institution :
Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia
Volume :
48
Issue :
3
fYear :
2012
Firstpage :
148
Lastpage :
149
Abstract :
The design of an auto-associative memory based on a spiking neural network is described. Delays rather than binary values are used to represent signals and coincidence is used to perform pattern matching. A complete implementation of the memory on a single FPGA is presented.
Keywords :
field programmable gate arrays; neural nets; FPGA implementation; binary value; biologically-inspired auto-associative memory; pattern matching; single FPGA; spiking neural network;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2011.3651
Filename :
6145813
Link To Document :
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