Leveraging unlabelled data for generalizable neural population decoding
By Ximeng Mao · Paper · cs.LG
Robust and accurate neural decoders are integral to neurotechnologies such as brain-computer interfaces and closed-loop experiments. Recent work has shown that tokenizing neural data at the spike level facilitates multi-session pretraining and delivers state-of-the-art decoding p