Using deep learning to decode abnormal brain neural activity in MDD from single-trial EEG signals

Mengmeng Liu; Jianling Tan; Yuhao Jiang; Yin Tian

Journal ArticleOPEN ACCESS

Using deep learning to decode abnormal brain neural activity in MDD from single-trial EEG signals

Liu M
Tan J
Jiang Y
et al.

Brain-Apparatus Communication: A Journal of Bacomics (2022) 1(1) 28-37

DOI: 10.1080/27706710.2022.2075242

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Abstract

The application of electroencephalography (EEG) to the study of major depressive disorder (MDD) is a common approach. However, there is no one-to-one correspondence between EEG and brain neural act...

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APA

Liu, M., Tan, J., Jiang, Y., & Tian, Y. (2022). Using deep learning to decode abnormal brain neural activity in MDD from single-trial EEG signals. Brain-Apparatus Communication: A Journal of Bacomics, 1(1), 28–37. https://doi.org/10.1080/27706710.2022.2075242

Using deep learning to decode abnormal brain neural activity in MDD from single-trial EEG signals

Abstract

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