Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization

Objective. Recently, transfer learning (TL) and deep learning (DL) have been introduced to solve intra- and inter-subject variability problems in brain-computer interfaces (BCIs). However, current TL and DL algorithms are usually validated within a single dataset, assuming that data of the test subj...

Full description

Bibliographic Details

Published in:	Journal of neural engineering Vol. 18; no. 4
Main Authors:	Xu, Lichao, Xu, Minpeng, Ma, Zhen, Wang, Kun, Jung, Tzyy-Ping, Ming, Dong
Format:	Journal Article
Language:	English
Published:	01.08.2021
ISSN:	1741-2552, 1741-2552
Online Access:	Get more information
Tags:	Add Tag No Tags, Be the first to tag this record!