Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders

We introduce adversarial neural networks for representation learning as a novel approach to transfer learning in brain-computer interfaces (BCIs). The proposed approach aims to learn subject-invariant representations by simultaneously training a conditional variational autoencoder (cVAE) and an adve...

Full description

Bibliographic Details

Published in:	International IEEE/EMBS Conference on Neural Engineering (Online) pp. 207 - 210
Main Authors:	Ozdenizci, Ozan, Wang, Ye, Koike-Akino, Toshiaki, Erdogmus, Deniz
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.03.2019
Subjects:	adversarial networks Brain modeling Brain-computer interfaces convolutional neural networks Decoding EEG Electroencephalography Feature extraction representation learning Training Training data transfer learning variational autoencoders
ISSN:	1948-3554
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!