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

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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Bibliographic Details
Main Authors: Daniel D. E. Wong, Søren A. Fuglsang, Jens Hjortkjær, Enea Ceolini, Malcolm Slaney, Alain de Cheveigné
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Neuroscience
Subjects:
temporal response function
speech decoding
electroencephalography
selective auditory attention
attention decoding
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.00531/full

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