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cs.NE2026
Multi-Depth Temporal Fusion for Feedforward, Locally Trained Spiking Neural Networks
Aidin Attar, Eleonora Cicciarella, Michele Rossi
We propose a new spiking neural network (SNN) design to process static images and event streams using time-to-first-spike (TTFS) latencies. Our key research question is which archi…
cs.NE2026
Predictive Suppression Layers for Communication-Efficient Spiking Neural Networks
Aidin Attar, Michele Rossi
Feedforward Spiking Neural Networks (SNNs) typically propagate every generated spike indiscriminately, disregarding whether the information is redundant from an information-theoret…