论文信息 - FPGA implementation of biologically-inspired auto-associative memory

FPGA implementation of biologically-inspired auto-associative memory

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.

Philip H. W. Leong | Craig Jin | Alistair McEwan | A. van Schaik | C. H. Ang

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