A survey of deep learning-based classification methods for steady-state visual evoked potentials

Yudong Pan; Jianbo Chen; Yangsong Zhang

Journal ArticleOPEN ACCESS

A survey of deep learning-based classification methods for steady-state visual evoked potentials

Pan Y
Chen J
Zhang Y

Brain-Apparatus Communication: A Journal of Bacomics (2023) 2(1)

DOI: 10.1080/27706710.2023.2181102

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Abstract

1. During the past decades, the brain-computer interface (BCI) technologies have achieved tremendous breakthroughs, which enables people who suffer from neuromuscular impairments to communicate wit...

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APA

Pan, Y., Chen, J., & Zhang, Y. (2023). A survey of deep learning-based classification methods for steady-state visual evoked potentials. Brain-Apparatus Communication: A Journal of Bacomics, 2(1). https://doi.org/10.1080/27706710.2023.2181102

A survey of deep learning-based classification methods for steady-state visual evoked potentials

Abstract

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