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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2018
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| Materias: | |
| 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 |