Preprint
Sep 2026
Toward On-Chip Training of Spiking Neural Networks for Dense Event-Based Vision
Event cameras provide low-latency, asynchronous visual sensing for resource-constrained robotics. Spiking neural networks (SNNs) process event streams naturally, but training deep SNNs with backpropagation through time (BPTT) requires substantial memory and remains difficult on neuromorphic hardware. Local learning avo...
M. Vaillant, Axel Carlier, Xing-Ng Lai et al.
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