Year |
Citation |
Score |
2017 |
Shanechi MM, Orsborn AL, Moorman HG, Gowda S, Dangi S, Carmena JM. Rapid control and feedback rates enhance neuroprosthetic control. Nature Communications. 8: 13825. PMID 28059065 DOI: 10.1038/Ncomms13825 |
0.719 |
|
2016 |
Moorman HG, Gowda S, Carmena JM. Control of redundant kinematic degrees of freedom in a closed-loop brain-machine interface. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. PMID 27455526 DOI: 10.1109/Tnsre.2016.2593696 |
0.667 |
|
2014 |
Shanechi MM, Orsborn A, Moorman H, Gowda S, Carmena JM. High-performance brain-machine interface enabled by an adaptive optimal feedback-controlled point process decoder. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 6493-6. PMID 25571483 DOI: 10.1109/EMBC.2014.6945115 |
0.773 |
|
2014 |
Orsborn AL, Moorman HG, Overduin SA, Shanechi MM, Dimitrov DF, Carmena JM. Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control. Neuron. 82: 1380-93. PMID 24945777 DOI: 10.1016/J.Neuron.2014.04.048 |
0.753 |
|
2014 |
Dangi S, Gowda S, Moorman HG, Orsborn AL, So K, Shanechi M, Carmena JM. Continuous closed-loop decoder adaptation with a recursive maximum likelihood algorithm allows for rapid performance acquisition in brain-machine interfaces. Neural Computation. 26: 1811-39. PMID 24922501 DOI: 10.1162/Neco_A_00632 |
0.754 |
|
2014 |
Gowda S, Orsborn AL, Overduin SA, Moorman HG, Carmena JM. Designing dynamical properties of brain-machine interfaces to optimize task-specific performance. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 22: 911-20. PMID 24760941 DOI: 10.1109/Tnsre.2014.2309673 |
0.728 |
|
2013 |
Ajemian R, D'Ausilio A, Moorman H, Bizzi E. A theory for how sensorimotor skills are learned and retained in noisy and nonstationary neural circuits. Proceedings of the National Academy of Sciences of the United States of America. 110: E5078-87. PMID 24324147 DOI: 10.1073/Pnas.1320116110 |
0.575 |
|
2013 |
Dangi S, Orsborn AL, Moorman HG, Carmena JM. Design and analysis of closed-loop decoder adaptation algorithms for brain-machine interfaces. Neural Computation. 25: 1693-731. PMID 23607558 DOI: 10.1162/Neco_A_00460 |
0.746 |
|
2012 |
Orsborn AL, Dangi S, Moorman HG, Carmena JM. Closed-loop decoder adaptation on intermediate time-scales facilitates rapid BMI performance improvements independent of decoder initialization conditions. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 20: 468-77. PMID 22772374 DOI: 10.1109/Tnsre.2012.2185066 |
0.765 |
|
2011 |
Orsborn AL, Dangi S, Moorman HG, Carmena JM. Exploring time-scales of closed-loop decoder adaptation in brain-machine interfaces. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 5436-9. PMID 22255567 DOI: 10.1109/IEMBS.2011.6091387 |
0.777 |
|
2010 |
Ajemian R, D'Ausilio A, Moorman H, Bizzi E. Why professional athletes need a prolonged period of warm-up and other peculiarities of human motor learning. Journal of Motor Behavior. 42: 381-8. PMID 21184356 DOI: 10.1080/00222895.2010.528262 |
0.555 |
|
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