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FPGA implementation of biologically-inspired auto-associative memory

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5 Author(s)
Ang, C.H. ; Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia ; McEwan, A.L. ; van Schaik, A. ; Jin, C.
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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.

Published in:

Electronics Letters  (Volume:48 ,  Issue: 3 )