Sub-mW Neuromorphic SNN audio processing applications with Rockpool and Xylo. (arXiv:2208.12991v2 [cs.NE] UPDATED)

Spiking Neural Networks (SNNs) provide an efficient computational mechanism
for temporal signal processing, especially when coupled with low-power SNN
inference ASICs. SNNs have been historically difficult to configure, lacking a
general method for finding solutions for arbitrary tasks. In recent years,
gradient-descent optimization methods have been applied to SNNs with increasing
ease. SNNs and SNN inference processors therefore offer a good platform for
commercial low-power signal processing in energy constrained environments
without cloud dependencies. However, to date these methods have …

applications arxiv audio neuromorphic processing snn