arXiv cs.NE
· Papers
Masked Autoencoders Learn Perception-Relevant Representations from Resting State Neural Data
arXiv:2607.22615v1 Announce Type: cross Abstract: Clinical neuroprosthetics face a data bottleneck: labeled perception trials are scarce while hours of spontaneous neural activity are largely underutilized. Here, we test whether self-supervised learning can use these unlabeled datasets to improve perception decoding. W