Sumner L Norman
Sumner L Norman
CEO, Forest Neurotech; Visiting Researcher, Caltech
Verified email at - Homepage
Cited by
Cited by
Single-trial decoding of movement intentions using functional ultrasound neuroimaging
SL Norman, D Maresca, VN Christopoulos, WS Griggs, C Demene, ...
Neuron 109 (9), 1554-1566. e4, 2021
Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy
SL Norman, M Dennison, W Eric T., SC Cramer, R Srinivasan, ...
IEEE Trans Neural Syst Rehabil Eng 24 (8), 911-919, 2016
Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke
SL Norman, DJ McFarland, A Miner, SC Cramer, ET Wolbrecht, ...
Journal of neural engineering 15 (5), 056026, 2018
Planar hand motion guidance using fingertip skin-stretch feedback
SL Norman, AJ Doxon, BT Gleeson, WR Provancher
IEEE transactions on haptics 7 (2), 121-130, 2014
The human primary somatosensory cortex encodes imagined movement in the absence of sensory information
M Jafari, T Aflalo, S Chivukula, SS Kellis, MA Salas, SL Norman, K Pejsa, ...
Communications biology 3 (1), 757, 2020
BCI-based sensorimotor rhythm training can affect individuated finger movements
DJ McFarland, SL Norman, WA Sarnacki, ET Wolbrecht, ...
Brain-Computer Interfaces 7 (1-2), 38-46, 2020
How do strength and coordination recovery interact after stroke? A computational model for informing robotic training
SL Norman, J Lobo-Prat, DJ Reinkensmeyer
2017 International Conference on Rehabilitation Robotics (ICORR), 181-186, 2017
Targeting neuroplasticity to improve motor recovery after stroke: an artificial neural network model
SL Norman, JR Wolpaw, DJ Reinkensmeyer
Brain Communications 4 (6), fcac264, 2022
A window to the brain: ultrasound imaging of human neural activity through a permanent acoustic window
C Rabut, SL Norman, WS Griggs, JJ Russin, K Jann, V Christopoulos, ...
bioRxiv, 2023.06. 14.544094, 2023
Targeting Neuroplasticity to Improve Motor Recovery after Stroke
SL Norman, JR Wolpaw, DJ Reinkensmeyer
bioRxiv, 2020
Decoding motor plans using a closed-loop ultrasonic brain–machine interface
WS Griggs, SL Norman, T Deffieux, F Segura, BF Osmanski, G Chau, ...
Nature Neuroscience 27 (1), 196-207, 2024
Brain Computer Interface Design for Robot Assisted Neurorehabilitation
SL Norman
University of California, Irvine, 2017
Design of a wearable robot to enable bimanual manipulation after stroke
S Norman, W Tang, Q Sanders, Y Sarigul-Klijn
Southern California Robotics Symposium (La Jolla, CA), 2016
Neural correlates of cognitive motor signals in primary somatosensory cortex
M Jafari, TNS Aflalo, S Chivukula, SS Kellis, MA Salas, SL Norman, ...
bioRxiv, 2020
BCI-Based Control of Pre-Movement Sensorimotor Rhythm Amplitude May Improve Motor Performance after Stroke
SL Norman, DJ McFarland, A Miner, SC Cramer, ET Wolbrecht, ...
BCI, 2018
Sensorimotor rhythms during preparation for robot-assisted movement
SL Norman, DJ McFarland, WA Sarnacki, JR Wolpaw, ET Wolbrecht, ...
Brain Computer Interface Meeting: BCI Past, Present, and Future, 2016
Functional ultrasound imaging of human brain activity through an acoustically transparent cranial window
C Rabut, SL Norman, WS Griggs, JJ Russin, K Jann, V Christopoulos, ...
Science Translational Medicine 16 (749), eadj3143, 2024
514 A Functional Ultrasound Brain-Machine Interface: Real-Time Decoding of Eight Movement Directions
W Griggs, S Norman, C Rabut, T Deffieux, V Christopoulos, CY Liu, ...
Neurosurgery 69 (Supplement_1), 114-115, 2023
Decoding movement intention using ultrasound neuroimaging
SL Norman, D Maresca, V Christopoulos, M SHAPIRO, RA Andersen, ...
US Patent App. 17/318,821, 2021
Computational neural network provides naturalistic solution for recovery of finger dexterity after stroke
A Kadry, S Norman, J Xu, D Solomonow-Avnon, F Mawase
bioRxiv, 2021.06. 22.449412, 2021
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