Kinematic and Neurophysiological Consequences of an Assisted-Force-Feedback Brain-Machine Interface Training: A Case Study-Reference-Cited by-同舟云学术

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Kinematic and Neurophysiological Consequences of an Assisted-Force-Feedback Brain-Machine Interface Training: A Case Study

Published:2013 Issue: Volume:4 Page:
ISSN:1664-2295
Container-title:Frontiers in Neurology
language:
Short-container-title:Front. Neurol.

Author:

Silvoni Stefano,Cavinato Marianna,Volpato Chiara,Cisotto Giulia,Genna Clara,Agostini Michela,Turolla Andrea,Ramos-Murguialday Ander,Piccione Francesco

Publisher

Frontiers Media SA

Subject

Clinical Neurology,Neurology

Cited by 9 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

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2. vEEGNet: Learning Latent Representations to Reconstruct EEG Raw Data via Variational Autoencoders;Communications in Computer and Information Science;2024

3. Determining optimal mobile neurofeedback methods for motor neurorehabilitation in children and adults with non-progressive neurological disorders: a scoping review;Journal of NeuroEngineering and Rehabilitation;2022-09-28

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5. CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From the State-of-The-Art to DynamicNet;2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB);2021-10-13

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