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Francis R Willett

Showing results (1-10 of 46) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Relationship between microelectrode array impedance and chronic recording quality of single units and local field potentialsJingLe Jiang, Francis R Willett, Dawn M Taylor
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Compensating for delays in brain-machine interfaces by decoding intended future movementFrancis R Willett, Aaron J Suminski, Andrew H Fagg, et al.
Journal of Neural Engineering|February 23, 2013
Improving brain-machine interface performance by decoding intended future movementsFrancis R Willett, Aaron J Suminski, Andrew H Fagg, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Differences in motor cortical representations of kinematic variables between action observation and action execution and implications for brain-machine interfacesFrancis R Willett, Aaron J Suminski, Andrew H Fagg, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Online adaptive decoding of intended movements with a hybrid kinetic and kinematic brain machine interfaceAaron J Suminski, Andrew H Fagg, Francis R Willett, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Continuous decoding of intended movements with a hybrid kinetic and kinematic brain machine interfaceAaron J Suminski, Francis R Willett, Andrew H Fagg, et al.
Nature|May 13, 2021
High-performance brain-to-text communication via handwritingFrancis R Willett, Donald T Avansino, Leigh R Hochberg, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Decoding Speech from Intracortical Multielectrode Arrays in Dorsal "Arm/Hand Areas" of Human Motor CortexSergey D Stavisky, Paymon Rezaii, Francis R Willett, et al.
Medrxiv : the Preprint Server for Health Sciences|July 9, 2025
Long-term performance of intracortical microelectrode arrays in 14 BrainGate clinical trial participantsNick V Hahn, Elias Stein, , et al.
Biorxiv : the Preprint Server for Biology|May 3, 2023
Translating deep learning to neuroprosthetic controlDarrel R Deo, Francis R Willett, Donald T Avansino, et al.
Pageof 5

Showing results (1-10 of 46) with videos related to

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Pageof 5
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Relationship between microelectrode array impedance and chronic recording quality of single units and local field potentialsJingLe Jiang, Francis R Willett, Dawn M Taylor
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Compensating for delays in brain-machine interfaces by decoding intended future movementFrancis R Willett, Aaron J Suminski, Andrew H Fagg, et al.
Journal of Neural Engineering|February 23, 2013
Improving brain-machine interface performance by decoding intended future movementsFrancis R Willett, Aaron J Suminski, Andrew H Fagg, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Differences in motor cortical representations of kinematic variables between action observation and action execution and implications for brain-machine interfacesFrancis R Willett, Aaron J Suminski, Andrew H Fagg, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Online adaptive decoding of intended movements with a hybrid kinetic and kinematic brain machine interfaceAaron J Suminski, Andrew H Fagg, Francis R Willett, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Continuous decoding of intended movements with a hybrid kinetic and kinematic brain machine interfaceAaron J Suminski, Francis R Willett, Andrew H Fagg, et al.
Nature|May 13, 2021
High-performance brain-to-text communication via handwritingFrancis R Willett, Donald T Avansino, Leigh R Hochberg, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Decoding Speech from Intracortical Multielectrode Arrays in Dorsal "Arm/Hand Areas" of Human Motor CortexSergey D Stavisky, Paymon Rezaii, Francis R Willett, et al.
Medrxiv : the Preprint Server for Health Sciences|July 9, 2025
Long-term performance of intracortical microelectrode arrays in 14 BrainGate clinical trial participantsNick V Hahn, Elias Stein, , et al.
Biorxiv : the Preprint Server for Biology|May 3, 2023
Translating deep learning to neuroprosthetic controlDarrel R Deo, Francis R Willett, Donald T Avansino, et al.
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