A Comparison of Regularization Methods in Forward and Backward Models for Auditory Attention Decoding

The decoding of selective auditory attention from noninvasive electroencephalogram (EEG) data is of interest in brain computer interface and auditory perception research. The current state-of-the-art approaches for decoding the attentional selection of listeners are based on linear mappings between...

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Detalles Bibliográficos
Autores principales: Wong, Daniel D. E., Fuglsang, Søren A., Hjortkjær, Jens, Ceolini, Enea, Slaney, Malcolm, de Cheveigné, Alain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6090837/
https://www.ncbi.nlm.nih.gov/pubmed/30131670
http://dx.doi.org/10.3389/fnins.2018.00531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6090837/
https://www.ncbi.nlm.nih.gov/pubmed/30131670
http://dx.doi.org/10.3389/fnins.2018.00531

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