fMRI Brain Decoding and Its Applications in Brain–Computer Interface: A Survey

fMRI Brain Decoding and Its Applications in Brain–Computer Interface: A Survey

Brain neural activity decoding is an important branch of neuroscience research and a key technology for the brain–computer interface (BCI). Researchers initially developed simple linear models and machine learning algorithms to classify and recognize brain activities. With the great success of deep...

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Bibliographic Details
Main Authors: Bing Du, Xiaomu Cheng, Yiping Duan, Huansheng Ning
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Brain Sciences
Subjects:
brain decoding
variational autoencoder (VAE)
generative adversarial network (GAN)
graph convolutional networks (GCN)
functional magnetic resonance imaging (fMRI)
brain–computer interface (BCI)
Online Access:https://www.mdpi.com/2076-3425/12/2/228

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https://www.mdpi.com/2076-3425/12/2/228

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