2 papers
cs.NE2025
Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks
Yuan Hua, Jilin Zhang, Yingtao Zhang +5
Inspired by the brain's spike-based computation, spiking neural networks (SNNs) inherently possess temporal activation sparsity. However, when it comes to the sparse training of SN…
cs.NE2024
Event-Driven Learning for Spiking Neural Networks
Wenjie Wei, Malu Zhang, Jilin Zhang +7
Brain-inspired spiking neural networks (SNNs) have gained prominence in the field of neuromorphic computing owing to their low energy consumption during feedforward inference on ne…