https://www.selleckchem.com/pr....oducts/cct241533-hyd
Advances in neural decoding have enabled brain-computer interfaces to perform increasingly complex and clinically-relevant tasks. However, such decoders are often tailored to specific participants, days, and recording sites, limiting their practical long-term usage. Therefore, a fundamental challenge is to develop neural decoders that can robustly train on pooled, multi-participant data and generalize to new participants. We introduce a new decoder, HTNet, which uses a convolutional neural network with two innovations (1
Like
Comment
Share
