Achieving a hybrid brain–computer interface with tactile selective attention and motor imagery-Reference-Cited by-同舟云学术

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Achieving a hybrid brain–computer interface with tactile selective attention and motor imagery

Published:2014-10-13 Issue:6 Volume:11 Page:066004
ISSN:1741-2560
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Ahn Sangtae,Ahn Minkyu,Cho Hohyun,Chan Jun Sung

Funder

Korea Research Institute of Standards and Science

National Research Foundation of Korea

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

http://stacks.iop.org/1741-2552/11/i=6/a=066004/pdf

Reference73 articles.

1. Feasibility of approaches combining sensor and source features in brain–computer interface

2. Co-adaptive calibration to improve BCI efficiency

3. Toward a hybrid brain–computer interface based on imagined movement and visual attention

4. Neurophysiological predictor of SMR-based BCI performance

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1. The application of vibration tactile stimulation in hand motor imagery paradigm: a pilot study;Brain-Apparatus Communication: A Journal of Bacomics;2024-07-30

2. Cortical activation and BCI performance during brief tactile imagery: A comparative study with motor imagery;Behavioural Brain Research;2024-02

3. Neural Correlates of Motor/Tactile Imagery and Tactile Sensation in a BCI paradigm: A High-Density EEG Source Imaging Study;Cyborg and Bionic Systems;2024-01

4. Effects of Sequence Order on Motor Imagery Based on Observing and Delayed Matching Task;IFMBE Proceedings;2024

5. Cross-Subject Motor Imagery Decoding by Transfer Learning of Tactile ERD;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

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