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cs.NE2026
ADSEQ: A delay-aware autograd-compatible framework for spike-event delivery in SNNs
Lennart P. L. Landsmeer, Amirreza Movahedin, Said Hamdioui +1
Spiking neural networks (SNNs), central to computational neuroscience and neuromorphic machine learning (ML), require efficient simulation and gradient-based training. While AI acc…
cs.NE2025
Spatial Spiking Neural Networks Enable Efficient and Robust Temporal Computation
Lennart P. L. Landsmeer, Amirreza Movahedin, Mario Negrello +2
The efficiency of modern machine intelligence depends on high accuracy with minimal computational cost. In spiking neural networks (SNNs), synaptic delays are crucial for encoding…