2026
Breaking Gradient Temporal Collinearity for Robust Spiking Neural Networks
ICLR 2026poster
Spiking Neural Networks (SNNs) have emerged as an efficient neuromorphic computing paradigm, offering low energy consumption and strong representational capacity through binary spike-based information processing. However, their performance is heavily shaped by the input encoding method. While direct…