M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery Decoding-Reference-Cited by-同舟云学术

M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery Decoding

Published:2024 Issue: Volume:32 Page:401-411
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Qin Yiyang¹^ORCID,Yang Banghua²^ORCID,Ke Sixiong¹^ORCID,Liu Peng¹,Rong Fenqi¹^ORCID,Xia Xinxing¹

Affiliation:

1. School of Mechanical and Electrical Engineering and Automation, Shanghai University, Shanghai, China

2. School of Mechatronic Engineering and Automation, School of Medicine, Research Center of Brain Computer Engineering, Shanghai University, Shanghai, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

National Defense Basic Scientific Research Program of China

Shanghai Major Science and Technology Project

Shanghai Industrial Collaborative Technology Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7333/10398877/10385159.pdf?arnumber=10385159

Reference40 articles.

1. Brain–computer interfaces for communication and control

2. Observing Actions Through Immersive Virtual Reality Enhances Motor Imagery Training

3. A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface

4. A comprehensive assessment of Brain Computer Interfaces: Recent trends and challenges

5. Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-driven natural computational psychophysiology in class;Cognitive Neurodynamics;2024-06-04

2. TSANN-TG: Temporal–Spatial Attention Neural Networks with Task-Specific Graph for EEG Emotion Recognition;Brain Sciences;2024-05-20