Decoding movement kinematics from EEG using an interpretable convolutional neural network.

Borra, Davide; Mondini, Valeria; Magosso, Elisa; Müller-Putz, Gernot R

Borra, Davide; Mondini, Valeria; Magosso, Elisa; Müller-Putz, Gernot R.

Afiliación

Borra D; Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, Cesena Campus, Cesena, Italy. Electronic address: davide.borra2@unibo.it.
Mondini V; Institute of Neural Engineering, Graz University of Technology, Graz, Austria.
Magosso E; Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, Cesena Campus, Cesena, Italy; Alma Mater Research Institute for Human-Centered Artificial Intelligence, University of Bologna, Bologna, Italy; Interdepartmental Center for Industrial Re
Müller-Putz GR; Institute of Neural Engineering, Graz University of Technology, Graz, Austria; BioTechMed, Graz, Austria.

Comput Biol Med ; 165: 107323, 2023 10.

Article en En | MEDLINE | ID: mdl-37619325

Asunto(s)

Interfaces Cerebro-Computador; Aprendizaje Automático; Humanos; Fenómenos Biomecánicos; Redes Neurales de la Computación; Electroencefalografía; Movimiento; Algoritmos

Palabras clave

Brain-computer interface (BCI); Deep neural networks; Electroencephalography (EEG); Interpretable neural networks; Motor trajectory decoding

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interfaces Cerebro-Computador / Aprendizaje Automático Límite: Humans Idioma: En Revista: Comput Biol Med Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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