Single Finger Trajectory Prediction From Intracranial Brain Activity Using Block-Term Tensor Regression With Fast and Automatic Component Extraction

Multiway- or tensor-based decoding techniques for brain-computer interfaces (BCIs) are believed to better account for the multilinear structure of brain signals than conventional vector- or matrix-based ones. However, despite their outlook on significant performance gains, the used parameter optimiz...

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Veröffentlicht in:	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024-07, Vol.35 (7), p.8897-8908
Hauptverfasser:	Faes, Axel, Camarrone, Flavio, Hulle, Marc M. Van
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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