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Autumn J Bullard

Showing results (1-10 of 8) with videos related to

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Neuromodulation : Journal of the International Neuromodulation Society|November 21, 2019
Estimating Risk for Future Intracranial, Fully Implanted, Modular Neuroprosthetic Systems: A Systematic Review of Hardware Complications in Clinical Deep Brain Stimulation and Experimental Human Intracortical ArraysAutumn J Bullard, Brianna C Hutchison, Jiseon Lee, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|February 13, 2018
Closed-Loop Continuous Hand Control via Chronic Recording of Regenerative Peripheral Nerve InterfacesPhilip P Vu, Zachary T Irwin, Autumn J Bullard, et al.
Journal of Neural Engineering|May 16, 2017
Robust tactile sensory responses in finger area of primate motor cortex relevant to prosthetic controlKaren E Schroeder, Zachary T Irwin, Autumn J Bullard, et al.
Frontiers in Neuroscience|November 21, 2018
Cortical Decoding of Individual Finger Group Motions Using ReFIT Kalman FilterAlex K Vaskov, Zachary T Irwin, Samuel R Nason, et al.
Bioelectronic Medicine|April 2, 2020
Design and testing of a 96-channel neural interface module for the Networked Neuroprosthesis systemAutumn J Bullard, Samuel R Nason, Zachary T Irwin, et al.
Journal of Neural Engineering|January 3, 2023
Utah array characterization and histological analysis of a multi-year implant in non-human primate motor and sensory corticesParas R Patel, Elissa J Welle, Joseph G Letner, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 25, 2015
Enabling Low-Power, Multi-Modal Neural Interfaces Through a Common, Low-Bandwidth Feature SpaceZachary T Irwin, David E Thompson, Karen E Schroeder, et al.
Nature Biomedical Engineering|July 29, 2020
A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain-machine interfacesSamuel R Nason, Alex K Vaskov, Matthew S Willsey, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Neuromodulation : Journal of the International Neuromodulation Society|November 21, 2019
Estimating Risk for Future Intracranial, Fully Implanted, Modular Neuroprosthetic Systems: A Systematic Review of Hardware Complications in Clinical Deep Brain Stimulation and Experimental Human Intracortical ArraysAutumn J Bullard, Brianna C Hutchison, Jiseon Lee, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|February 13, 2018
Closed-Loop Continuous Hand Control via Chronic Recording of Regenerative Peripheral Nerve InterfacesPhilip P Vu, Zachary T Irwin, Autumn J Bullard, et al.
Journal of Neural Engineering|May 16, 2017
Robust tactile sensory responses in finger area of primate motor cortex relevant to prosthetic controlKaren E Schroeder, Zachary T Irwin, Autumn J Bullard, et al.
Frontiers in Neuroscience|November 21, 2018
Cortical Decoding of Individual Finger Group Motions Using ReFIT Kalman FilterAlex K Vaskov, Zachary T Irwin, Samuel R Nason, et al.
Bioelectronic Medicine|April 2, 2020
Design and testing of a 96-channel neural interface module for the Networked Neuroprosthesis systemAutumn J Bullard, Samuel R Nason, Zachary T Irwin, et al.
Journal of Neural Engineering|January 3, 2023
Utah array characterization and histological analysis of a multi-year implant in non-human primate motor and sensory corticesParas R Patel, Elissa J Welle, Joseph G Letner, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 25, 2015
Enabling Low-Power, Multi-Modal Neural Interfaces Through a Common, Low-Bandwidth Feature SpaceZachary T Irwin, David E Thompson, Karen E Schroeder, et al.
Nature Biomedical Engineering|July 29, 2020
A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain-machine interfacesSamuel R Nason, Alex K Vaskov, Matthew S Willsey, et al.
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