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Samuel R Nason-Tomaszewski

Showing results (1-10 of 17) with videos related to

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Nature Communications|November 13, 2022
Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoderMatthew S Willsey, Samuel R Nason-Tomaszewski, Scott R Ensel, et al.
IEEE Transactions on Biomedical Circuits and Systems|May 20, 2022
A Power-Efficient Brain-Machine Interface System With a Sub-mw Feature Extraction and Decoding ASIC Demonstrated in Nonhuman PrimatesHyochan An, Samuel R Nason-Tomaszewski, Jongyup Lim, et al.
Elife|June 7, 2023
The impact of task context on predicting finger movements in a brain-machine interfaceMatthew J Mender, Samuel R Nason-Tomaszewski, Hisham Temmar, et al.
Journal of Neural Engineering|October 18, 2024
Reducing power requirements for high-accuracy decoding in iBCIsBrianna M Karpowicz, Bareesh Bhaduri, Samuel R Nason-Tomaszewski, et al.
Journal of Neural Engineering|August 11, 2023
Error detection and correction in intracortical brain-machine interfaces controlling two finger groupsDylan M Wallace, Miri Benyamini, Samuel R Nason-Tomaszewski, et al.
Journal of Neural Engineering|April 21, 2023
Restoring continuous finger function with temporarily paralyzed nonhuman primates using brain-machine interfacesSamuel R Nason-Tomaszewski, Matthew J Mender, Eric Kennedy, et al.
Biorxiv : the Preprint Server for Biology|October 3, 2025
Preparatory encoding of diverse features of intended movement in the human motor cortexMattia Rigotti-Thompson, Samuel R Nason-Tomaszewski, Payton Bechefsky, et al.
Journal of Neural Engineering|May 25, 2022
A low-power communication scheme for wireless, 1000 channel brain-machine interfacesJoseph T Costello, Samuel R Nason-Tomaszewski, Hyochan An, et al.
Biorxiv : the Preprint Server for Biology|August 23, 2023
BRAND: A platform for closed-loop experiments with deep network modelsYahia H Ali, Kevin Bodkin, Mattia Rigotti-Thompson, et al.
Journal of Neural Engineering|April 5, 2024
BRAND: a platform for closed-loop experiments with deep network modelsYahia H Ali, Kevin Bodkin, Mattia Rigotti-Thompson, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Nature Communications|November 13, 2022
Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoderMatthew S Willsey, Samuel R Nason-Tomaszewski, Scott R Ensel, et al.
IEEE Transactions on Biomedical Circuits and Systems|May 20, 2022
A Power-Efficient Brain-Machine Interface System With a Sub-mw Feature Extraction and Decoding ASIC Demonstrated in Nonhuman PrimatesHyochan An, Samuel R Nason-Tomaszewski, Jongyup Lim, et al.
Elife|June 7, 2023
The impact of task context on predicting finger movements in a brain-machine interfaceMatthew J Mender, Samuel R Nason-Tomaszewski, Hisham Temmar, et al.
Journal of Neural Engineering|October 18, 2024
Reducing power requirements for high-accuracy decoding in iBCIsBrianna M Karpowicz, Bareesh Bhaduri, Samuel R Nason-Tomaszewski, et al.
Journal of Neural Engineering|August 11, 2023
Error detection and correction in intracortical brain-machine interfaces controlling two finger groupsDylan M Wallace, Miri Benyamini, Samuel R Nason-Tomaszewski, et al.
Journal of Neural Engineering|April 21, 2023
Restoring continuous finger function with temporarily paralyzed nonhuman primates using brain-machine interfacesSamuel R Nason-Tomaszewski, Matthew J Mender, Eric Kennedy, et al.
Biorxiv : the Preprint Server for Biology|October 3, 2025
Preparatory encoding of diverse features of intended movement in the human motor cortexMattia Rigotti-Thompson, Samuel R Nason-Tomaszewski, Payton Bechefsky, et al.
Journal of Neural Engineering|May 25, 2022
A low-power communication scheme for wireless, 1000 channel brain-machine interfacesJoseph T Costello, Samuel R Nason-Tomaszewski, Hyochan An, et al.
Biorxiv : the Preprint Server for Biology|August 23, 2023
BRAND: A platform for closed-loop experiments with deep network modelsYahia H Ali, Kevin Bodkin, Mattia Rigotti-Thompson, et al.
Journal of Neural Engineering|April 5, 2024
BRAND: a platform for closed-loop experiments with deep network modelsYahia H Ali, Kevin Bodkin, Mattia Rigotti-Thompson, et al.
Pageof 2