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High-performance brain-machine interface enabled by an adaptive optimal feedback-controlled point process decoder
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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10.1109/embc.2014.6945115
◽
2014
◽
Cited By ~ 11
Author(s):
Maryam M. Shanechi
◽
Amy Orsborn
◽
Helene Moorman
◽
Suraj Gowda
◽
Jose M. Carmena
Keyword(s):
Point Process
◽
High Performance
◽
Brain Machine Interface
◽
Optimal Feedback
◽
Machine Interface
Download Full-text
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Cited By
References
Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering
PLoS Computational Biology
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10.1371/journal.pcbi.1004730
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2016
◽
Vol 12
(4)
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pp. e1004730
◽
Cited By ~ 56
Author(s):
Maryam M. Shanechi
◽
Amy L. Orsborn
◽
Jose M. Carmena
Keyword(s):
Feedback Control
◽
Point Process
◽
Interface Design
◽
Optimal Feedback Control
◽
Brain Machine Interface
◽
Optimal Feedback
◽
Machine Interface
◽
Control Modeling
Download Full-text
Faculty Opinions recommendation of Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.726259007.793519286
◽
2016
◽
Author(s):
Eilon Vaadia
Keyword(s):
Feedback Control
◽
Point Process
◽
Interface Design
◽
Optimal Feedback Control
◽
Brain Machine Interface
◽
Optimal Feedback
◽
Machine Interface
◽
Control Modeling
Download Full-text
Feasibility Study of High-Performance Implantable Stimulation Electrode with Nanocomposite Gel Coating as a Brain–Machine Interface Device
Sensors and Materials
◽
10.18494/sam.2016.1371
◽
2016
◽
pp. 1283
◽
Cited By ~ 1
Keyword(s):
Feasibility Study
◽
High Performance
◽
Brain Machine Interface
◽
Machine Interface
◽
Stimulation Electrode
◽
Interface Device
Download Full-text
Toward a high-performance, robust brain-machine interface
Frontiers in Computational Neuroscience
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10.3389/conf.fncom.2011.53.00005
◽
2011
◽
Vol 5
◽
Author(s):
Shenoy Krishna
Keyword(s):
High Performance
◽
Brain Machine Interface
◽
Machine Interface
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Considering Neural Connectivity in Point Process Decoder for Brain-Machine Interface*
10.1109/embc46164.2021.9630383
◽
2021
◽
Author(s):
Shuhang Chen
◽
Xi Liu
◽
Yiwen Wang
Keyword(s):
Point Process
◽
Brain Machine Interface
◽
Neural Connectivity
◽
Machine Interface
Download Full-text
Tracking Fast Neural Adaptation by Globally Adaptive Point Process Estimation for Brain-Machine Interface
IEEE Transactions on Neural Systems and Rehabilitation Engineering
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10.1109/tnsre.2021.3105968
◽
2021
◽
pp. 1-1
Author(s):
Shuhang Chen
◽
Xiang Zhang
◽
Xiang Shen
◽
Yifan Huang
◽
Yiwen Wang
Keyword(s):
Point Process
◽
Neural Adaptation
◽
Brain Machine Interface
◽
Machine Interface
Download Full-text
A Real-Time Brain-Machine Interface Combining Motor Target and Trajectory Intent Using an Optimal Feedback Control Design
PLoS ONE
◽
10.1371/journal.pone.0059049
◽
2013
◽
Vol 8
(4)
◽
pp. e59049
◽
Cited By ~ 46
Author(s):
Maryam M. Shanechi
◽
Ziv M. Williams
◽
Gregory W. Wornell
◽
Rollin C. Hu
◽
Marissa Powers
◽
...
Keyword(s):
Feedback Control
◽
Real Time
◽
Control Design
◽
Optimal Feedback Control
◽
Brain Machine Interface
◽
Optimal Feedback
◽
Machine Interface
Download Full-text
Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface*
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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10.1109/embc44109.2020.9175240
◽
2020
◽
Author(s):
Shuhang Chen
◽
Xiang Zhang
◽
Xiang Shen
◽
Yifan Huang
◽
Yiwen Wang
Keyword(s):
Point Process
◽
Brain Machine Interface
◽
Neural Modulation
◽
Machine Interface
◽
Process Method
Download Full-text
A high-performance brain-machine interface (BMI) using image information
2014 International Winter Workshop on Brain-Computer Interface (BCI)
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10.1109/iww-bci.2014.6782564
◽
2014
◽
Author(s):
Hong Gi Yeom
◽
June Sic Kim
◽
Chun Kee Chung
Keyword(s):
High Performance
◽
Brain Machine Interface
◽
Image Information
◽
Machine Interface
Download Full-text
Faculty Opinions recommendation of Inducing γ oscillations and precise spike synchrony by operant conditioning via brain-machine interface.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.717975905.793476129
◽
2013
◽
Author(s):
Alfons Schnitzler
◽
Joachim Lange
Keyword(s):
Operant Conditioning
◽
Brain Machine Interface
◽
Spike Synchrony
◽
Machine Interface
Download Full-text
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