Zachary A. Wright

发表

Distributions in the error space: Goal-directed movements described in time and state-space representations

James L. Patton, Moria E. Fisher, Felix C. Huang, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Post-stroke motor deficits are most evident at frequencies near 125 Hz in EMG multivariate probability distributions

James L. Patton, Felix C. Huang, Zachary A. Wright, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Control of a biomimetic brain machine interface with local field potentials: Performance and stability of a static decoder over 200 days

Marc W. Slutzky, Zachary A. Wright, Robert D. Flint, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Energetics during robot-assisted training predicts recovery in stroke

Zachary A. Wright, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Startle stimuli reduce the internal model control in discrete movements

James L. Patton, Mark W. Rogers, Zachary A. Wright, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Data sample size needed for prediction of movement distributions

James L. Patton, Moria E. Fisher, Felix C. Huang, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Evaluation of force field training customized according to individual movement deficit patterns

James L. Patton, Felix C. Huang, Zachary A. Wright, 2015, 2015 IEEE International Conference on Rehabilitation Robotics (ICORR).

Myoelectric computer interfaces to reduce co-contraction after stroke

Marc W. Slutzky, Zachary A. Wright, W. Zev Rymer, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Long-term, stable behavior of local field potentials during brain machine interface use

Marc W. Slutzky, Zachary A. Wright, Robert D. Flint, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Robot Training With Vector Fields Based on Stroke Survivors’ Individual Movement Statistics

Kelly O. Thielbar, Zachary A. Wright, Emily C. Lazzaro, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Reducing Abnormal Muscle Coactivation After Stroke Using a Myoelectric-Computer Interface

Marc W Slutzky, Zachary A Wright, W Zev Rymer, 2014, Neurorehabilitation and neural repair.

Degraded expression of learned feedforward control in movements released by startle

Zachary A. Wright, Anthony N. Carlsen, J. Patton, 2015, Experimental Brain Research.

Key components of mechanical work predict outcomes in robotic stroke therapy

Zachary A. Wright, J. Patton, F. Huang, 2020, Journal of NeuroEngineering and Rehabilitation.

Degraded expression of learned feedforward control in movements released by startle

Zachary A. Wright, Anthony N. Carlsen, J. Patton, 2015, Experimental Brain Research.

Extracting kinetic information from human motor cortical signals

Zoran Nenadic, An H. Do, Christine E. King, 2014, NeuroImage.

Startle reduces recall of a recently learned internal model

James L. Patton, Zachary A. Wright, J. Patton, 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

Direct classification of all American English phonemes using signals from functional speech motor cortex

Robert D Flint, Marc W Slutzky, James L Patton, 2014, Journal of neural engineering.

Long term, stable brain machine interface performance using local field potentials and multiunit spikes

Robert D Flint, Marc W Slutzky, Zachary A Wright, 2013, Journal of neural engineering.

Long-Term Stability of Motor Cortical Activity: Implications for Brain Machine Interfaces and Optimal Feedback Control

Robert D Flint, Marc W Slutzky, Zachary A Wright, 2016, The Journal of Neuroscience.