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Auditory-attention-decoding

Scripts for auditory attention decoding (AAD) work, corresponding to

Fu, Z., Wu, X., Chen, J., 2019. Congruent audiovisual speech enhances auditory attention decoding with EEG. J. Neural Eng. 064002. https://doi.org/10.1088/1741-2552/ab4340 (Online full artical)

Fu, Z., Chen, J., 2020. Congruent Audiovisual Speech Enhances Cortical Envelope Tracking during Auditory Selective Attention. Presented at the INTERSPEECH 2020, Shanghai, China, pp. 116–120. (Online full artical)

This project includes:

(1) Pre-preparing of the EEG data

CNT2MAT.m

In this script, the EEGLAB toolbox is called. Details please see

Delorme, A., Makeig, S., 2004. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods 134, 9–21. https://doi.org/10.1016/j.jneumeth.2003.10.009

Mognon, A., Jovicich, J., Bruzzone, L., Buiatti, M., 2011. ADJUST: An automatic EEG artifact detector based on the joint use of spatial and temporal features. Psychophysiology 48, 229–240. https://doi.org/10.1111/j.1469-8986.2010.01061.x

Makeig, S., Bell, T., Lee, T., Jung, T., Enghoff, S., 2000. EEGLAB: ICA toolbox for psychophysiological research. Swartz Center for Computational Neuroscience, Institute of Neural Computation, University of San Diego California. www.sccn.ucsd.edu/eeglab

(2) AAD algorithm

Coming soon.

(3) EEG and AV stimuli dataset

Dataset website

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