Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling
Author:
Affiliation:
1. Imec,Leuven,Belgium
2. University of California at San Diego,La Jolla,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10548018/10548050/10548355.pdf?arnumber=10548355
Reference34 articles.
1. 2022 roadmap on neuromorphic computing and engineering
2. A Neuromorphic Processing System for Low-Power Wearable ECG Classification
3. Small-footprint Spiking Neural Networks for Power-efficient Keyword Spotting
4. A Compact and Accelerated Spike-based Neuromorphic VLSI Chip for Pattern Recognition
5. MorphBungee: An Edge Neuromorphic Chip for High-Accuracy On-Chip Learning of Multiple-Layer Spiking Neural Networks
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