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Biological Cybernetics|January 1, 1992
Vector field approximation: a computational paradigm for motor control and learningF A Mussa-Ivaldi, S F GiszterProceedings of the National Academy of Sciences of the United States of America|September 29, 1999
Central representation of time during motor learningM A Conditt, F A Mussa-IvaldiBiological Cybernetics|January 1, 1988
Kinematic networks. A distributed model for representing and regularizing motor redundancyF A Mussa Ivaldi, P Morasso, R ZaccariaIEEE Transactions on Haptics|January 1, 2008
A Regression and Boundary-Crossing-Based Model for the Perception of Delayed StiffnessI Nisky, F A Mussa-Ivaldi, A KarnielIEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|November 5, 2013
Therapist recognition of impaired muscle groups in simulated multi-joint hypertoniaA Melendez-Calderon, D Piovesan, F A Mussa-IvaldiJournal of Neurophysiology|July 1, 1997
The motor system does not learn the dynamics of the arm by rote memorization of past experienceM A Conditt, F Gandolfo, F A Mussa-IvaldiAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Haptic perception of multi-joint hypertonia during simulated patient-therapist physical tele-interactionD Piovesan, A Melendez-Calderon, F A Mussa-IvaldiIEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|November 5, 2013
Haptic recognition of dystonia and spasticity in simulated multi-joint hypertoniaD Piovesan, A Melendez-Calderon, F A Mussa-IvaldiBiological Cybernetics|September 4, 1999
Emergence of symmetric, modular, and reciprocal connections in recurrent networks with Hebbian learningS E Hua, J C Houk, F A Mussa-IvaldiJournal of Neurophysiology|August 10, 2001
Learning to move amid uncertaintyR A Scheidt, J B Dingwell, F A Mussa-IvaldiPageof 11