Human motor cortical activity recorded with Micro-ECoG electrodes, during individual finger movements-Reference-Cited by-同舟云学术

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Human motor cortical activity recorded with Micro-ECoG electrodes, during individual finger movements

Published:2009-09 Issue: Volume: Page:
ISSN:
Container-title:2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Author:

Wang W.,Degenhart A.D.,Collinger J.L.,Vinjamuri R.,Sudre G.P.,Adelson P.D.,Holder D.L.,Leuthardt E.C.,Moran D.W.,Boninger M.L.,Schwartz A.B.,Crammond D.J.,Tyler-Kabara E.C.,Weber D.J.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5307844/5332379/05333704.pdf?arnumber=5333704

Cited by 94 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. Decoding micro-electrocorticographic signals by using explainable 3D convolutional neural network to predict finger movements;Journal of Neuroscience Methods;2024-11

2. A Review of Motor Brain-Computer Interfaces Using Intracranial Electroencephalography Based on Surface Electrodes and Depth Electrodes;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

3. The role of distinct ECoG frequency features in decoding finger movement;Journal of Neural Engineering;2023-11-23

4. High-resolution neural recordings improve the accuracy of speech decoding;Nature Communications;2023-11-06

5. CMOS-based flexible-arrange distributed neural interface system for wide-area BMI;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19

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