Ferdinando A. Mussa-Ivaldi, PhD
Affiliations: | Physiology, Physical Medicine and Rehabilitation, Biomedical Engineering | Northwestern University, Evanston, IL |
Area:
Motor System, Learning, Robotics, Computational NeuroscienceGoogle:
"Ferdinando Mussa-Ivaldi"Cross-listing: Neurotree
Parents
Sign in to add mentorPietro Morasso | grad student | University of Genova | |
Emilio Bizzi | post-doc | MIT (Neurotree) |
Children
Sign in to add traineeCollaborators
Sign in to add collaboratorNedialko I. Krouchev | collaborator | GRSNC, Polystim (Neurotree) |
BETA: Related publications
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Publications
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Lee JM, Gebrekristos T, DE Santis D, et al. (2024) Learning to Control Complex Robots Using High-Dimensional Body-Machine Interfaces. Acm Transactions On Human-Robot Interaction. 13 |
Lee JM, Gebrekristos T, De Santis D, et al. (2023) An Exploratory Multi-Session Study of Learning High-Dimensional Body-Machine Interfacing for Assistive Robot Control. Ieee ... International Conference On Rehabilitation Robotics : [Proceedings]. 2023: 1-6 |
Portnova-Fahreeva AA, Rizzoglio F, Mussa-Ivaldi FA, et al. (2023) Autoencoder-based myoelectric controller for prosthetic hands. Frontiers in Bioengineering and Biotechnology. 11: 1134135 |
Portnova-Fahreeva AA, Rizzoglio F, Casadio M, et al. (2023) Learning to operate a high-dimensional hand via a low-dimensional controller. Frontiers in Bioengineering and Biotechnology. 11: 1139405 |
Rizzoglio F, Giordano M, Mussa-Ivaldi FA, et al. (2023) A Non-Linear Body Machine Interface For Controlling Assistive Robotic Arms. Ieee Transactions On Bio-Medical Engineering |
Pierella C, Galofaro E, De Luca A, et al. (2021) Recovery of Distal Arm Movements in Spinal Cord Injured Patients with a Body-Machine Interface: A Proof-of-Concept Study. Sensors (Basel, Switzerland). 21 |
Pierella C, Galofaro E, De Luca A, et al. (2021) Recovery of Distal Arm Movements in Spinal Cord Injured Patients with a Body-Machine Interface: A Proof-of-Concept Study. Sensors (Basel, Switzerland). 21 |
Rizzoglio F, Casadio M, De Santis D, et al. (2021) Building an adaptive interface via unsupervised tracking of latent manifolds. Neural Networks : the Official Journal of the International Neural Network Society. 137: 174-187 |
Keonyoung O, Rymer WZ, Plenzio I, et al. (2020) Development of a planar haptic robot with minimized impedance. Ieee Transactions On Bio-Medical Engineering |
Rizzoglio F, Pierella C, De Santis D, et al. (2020) A hybrid body-machine interface integrating signals from muscles and motions. Journal of Neural Engineering |