Convolutional neural networks for decoding electroencephalography responses and visualizing trial by trial changes in discriminant features.

Aellen, Florence M; Göktepe-Kavis, Pinar; Apostolopoulos, Stefanos; Tzovara, Athina

Aellen, Florence M; Göktepe-Kavis, Pinar; Apostolopoulos, Stefanos; Tzovara, Athina.

Afiliación

Aellen FM; Institute of Computer Science, University of Bern, Switzerland. Electronic address: florence.aellen@inf.unibe.ch.
Göktepe-Kavis P; Institute of Computer Science, University of Bern, Switzerland.
Apostolopoulos S; RetinAI Medical AG, Switzerland.
Tzovara A; Institute of Computer Science, University of Bern, Switzerland; Sleep Wake Epilepsy Center - NeuroTec, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland; Helen Wills Neuroscience Institute, University of California, Berkeley, United States. Electronic ad

J Neurosci Methods ; 364: 109367, 2021 12 01.

Article en En | MEDLINE | ID: mdl-34563599

Asunto(s)

Interfaces Cerebro-Computador; Electroencefalografía; Algoritmos; Redes Neurales de la Computación

Palabras clave

Classification; Convolutional neural networks; Deep learning; Electroencephalography; Feature extraction; Multivariate pattern analysis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Electroencefalografía / Interfaces Cerebro-Computador Tipo de estudio: Prognostic_studies Idioma: En Revista: J Neurosci Methods Año: 2021 Tipo del documento: Article Pais de publicación: Países Bajos

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