Two-Stream Architecture with Contrastive and Self-Supervised Attention Feature Fusion for Error-related Potentials Classification

Error-related potentials (ErrPs) extracted from electroencephalographic signals hold potential for application in Brain-Machine Interfaces, in contexts such as robot teleoperation or shared control in assistive platforms. Due to difficulties in signal classification, in part caused by its non-statio...

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Vydané v:	IEEE RO-MAN s. 118 - 124
Hlavní autori:	Garrote, Luis, Perdiz, Joao, Yasemin, Mine, Pires, Gabriel, Nunes, Urbano J.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 26.08.2024
Predmet:	Brain modeling Contrastive learning Convolutional neural networks Deep architecture Electric potential Electroencephalography Feature extraction Noise measurement Robots Training
ISSN:	1944-9437
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