Towards identifying optimal biased feedback for various user states and traits in motor imagery BCI-Reference-Cited by-同舟云学术

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Towards identifying optimal biased feedback for various user states and traits in motor imagery BCI

Published:2021 Issue: Volume: Page:1-1
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Mladenovic Jelena,Frey Jeremy,Pramij Smeety,Mattout Jeremie,Lotte Fabien

Funder

European Research Council

Institut national de recherche en informatique et en automatique INRIA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/4359967/09541030.pdf?arnumber=9541030

Cited by 19 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. EEG-VTTCNet: A loss joint training model based on the vision transformer and the temporal convolution network for EEG-based motor imagery classification;Neuroscience;2024-09

2. Improved motor imagery training for subject’s self-modulation in EEG-based brain-computer interface;Frontiers in Human Neuroscience;2024-08-26

3. Large scale investigation of the effect of gender on mu rhythm suppression in motor imagery brain-computer interfaces;Brain-Computer Interfaces;2024-05-04

4. Classification of Motor Imagery based EEG signals using Ensemble model;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

5. Modeling Complex EEG Data Distribution on the Riemannian Manifold Toward Outlier Detection and Multimodal Classification;IEEE Transactions on Biomedical Engineering;2024-02

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