High Performance Hardware Implementation of SpikeProp Learning: Potential and Tradeoffs

In this paper the design of a dedicated high-performance hardware architecture for the SpikeProp algorithm is described. The proposed architecture performs the two main phases in spiking neural networks (SNNs) processing: recall and learning. The proposed architecture is flexible with respect to the number of neurons, the data precision to be used and the… (More)