arXiv cs.NE
· Papers
Effective pruning of task-trained recurrent neural networks using noisy fluctuations and connection rescaling
arXiv:2608.05464v1 Announce Type: cross Abstract: The pruning of network connections is key to brain function but, despite its importance, there exist few biologically-plausible pruning rules with demonstrated good performance. In this work we evaluate noise-prune, a recently introduced unsupervised local pruning rule