☰

Helene G. Moorman, BS

Affiliations: 
Helen Wills Neuroscience University of California, Berkeley, Berkeley, CA, United States 
Area:
Motor control
Google:
"Helene Moorman"
Mean distance: 15.24 (cluster 17)
 		SNBCP
Tree Publications Grants Similar researchers PubMed Report error

Parents

Sign in to add mentor
Emilio Bizzi research assistant 2006-2009 McGovern Instittute for Brain Research, MIT
Jose Carmena grad student 2009- UC Berkeley

Children

Sign in to add trainee

Collaborators

Sign in to add collaborator
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Shanechi MM, Orsborn AL, Moorman HG, et al. (2017) Rapid control and feedback rates enhance neuroprosthetic control. Nature Communications. 8: 13825
Moorman HG, Gowda S, Carmena JM. (2016) 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
Shanechi MM, Orsborn A, Moorman H, et al. (2014) 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
Orsborn AL, Moorman HG, Overduin SA, et al. (2014) Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control. Neuron. 82: 1380-93
Dangi S, Gowda S, Moorman HG, et al. (2014) 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
Gowda S, Orsborn AL, Overduin SA, et al. (2014) 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
Ajemian R, D'Ausilio A, Moorman H, et al. (2013) 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
Dangi S, Orsborn AL, Moorman HG, et al. (2013) Design and analysis of closed-loop decoder adaptation algorithms for brain-machine interfaces. Neural Computation. 25: 1693-731
Orsborn AL, Dangi S, Moorman HG, et al. (2012) 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
Orsborn AL, Dangi S, Moorman HG, et al. (2011) 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
See more...