Baobo Xiong

Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks

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 SNNs in the structural connection domain, existing methods fail to achieve ultra-sparse network structures without signifi…