Ferdinando A. Mussa-Ivaldi, PhD

Affiliations: 
Physiology, Physical Medicine and Rehabilitation, Biomedical Engineering Northwestern University, Evanston, IL 
Area:
Motor System, Learning, Robotics, Computational Neuroscience
Google:
"Ferdinando Mussa-Ivaldi"
Mean distance: 13.59 (cluster 22)
 
SNBCP
Cross-listing: Robotree

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Publications

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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
Portnova-Fahreeva AA, Rizzoglio F, Nisky I, et al. (2020) Linear and Non-linear Dimensionality-Reduction Techniques on Full Hand Kinematics. Frontiers in Bioengineering and Biotechnology. 8: 429
De Santis D, Mussa-Ivaldi FA. (2020) Guiding functional reorganization of motor redundancy using a body-machine interface. Journal of Neuroengineering and Rehabilitation. 17: 61
Farajian M, Leib R, Kossowsky H, et al. (2020) Stretching the skin immediately enhances perceived stiffness and gradually enhances the predictive control of grip force. Elife. 9
Farajian M, Leib R, Kossowsky H, et al. (2020) Author response: Stretching the skin immediately enhances perceived stiffness and gradually enhances the predictive control of grip force Elife
Piovesan D, Kolesnikov M, Lynch K, et al. (2019) The Concurrent Control of Motion and Contact Force in the Presence of Predictable Disturbances. Journal of Mechanisms and Robotics. 11: 060903
Pierella C, Casadio M, Mussa-Ivaldi FA, et al. (2019) The dynamics of motor learning through the formation of internal models. Plos Computational Biology. 15: e1007118
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