F. Mussa-Ivaldi

发表

Do neurons in the motor cortex encode movement direction? An alternative hypothesis

F. Mussa-Ivaldi, Ferdinando A. Mussa-Ivaldi, 1988, Neuroscience Letters.

Convergent force fields organized in the frog's spinal cord

F. A. Mussa-lvaldi, E. Bizzi, F. Mussa-Ivaldi, 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

Neural basis of motor control and its cognitive implications

E. Bizzi, F. Mussa-Ivaldi, 1998, Trends in Cognitive Sciences.

Linear combinations of primitives in vertebrate motor control.

E. Bizzi, F. Mussa-Ivaldi, S. Giszter, 1994, Proceedings of the National Academy of Sciences of the United States of America.

Muscle properties and the control of arm movements

E. Bizzi, F. A. Mussa-Ivaldi, E. Bizzi, 1990 .

Neural, mechanical, and geometric factors subserving arm posture in humans

E. Bizzi, N. Hogan, F. Mussa-Ivaldi, 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.

Human arm stiffness characteristics during the maintenance of posture

T. Flash, F. Mussa-Ivaldi, 1990, Experimental Brain Research.

Motor-space coding in the central nervous system.

E. Bizzi, F. Mussa-Ivaldi, S. Giszter, 1990, Cold Spring Harbor symposia on quantitative biology.

Postural force fields of the human arm and their role in generating multijoint movements

E. Bizzi, F. Mussa-Ivaldi, R. Shadmehr, 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

Controlling multijoint motor behavior.

E. Bizzi, T. Flash, N. Hogan, 1987, Exercise and sport sciences reviews.

Motor learning through the combination of primitives.

E Bizzi, F A Mussa-Ivaldi, E. Bizzi, 2000, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

Experimentally confirmed mathematical model for human control of a non-rigid object.

F. Mussa-Ivaldi, J. Dingwell, C. D. Mah, 2004, Journal of neurophysiology.

Nonlinear force fields: a distributed system of control primitives for representing and learning movements

Ferdinando A. Mussa-Ivaldi, F. Mussa-Ivaldi, 1997, Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97. 'Towards New Computational Principles for Robotics and Automation'.

The motor system does not learn the dynamics of the arm by rote memorization of past experience.

F. Mussa-Ivaldi, F. Gandolfo, M. Conditt, 1997, Journal of neurophysiology.

Central representation of time during motor learning.

F A Mussa-Ivaldi, M A Conditt, F. Mussa-Ivaldi, 1999, Proceedings of the National Academy of Sciences of the United States of America.

Motor learning by field approximation.

E Bizzi, F Gandolfo, F A Mussa-Ivaldi, 1996, Proceedings of the National Academy of Sciences of the United States of America.

Computations underlying the execution of movement: a biological perspective.

F A Mussa-Ivaldi, E Bizzi, S Giszter, 1991, Science.

Modular features of motor control and learning

Ferdinando A Mussa-Ivaldi, F. Mussa-Ivaldi, 1999, Current Opinion in Neurobiology.

Remapping residual coordination for controlling assistive devices and recovering motor functions

Elias B. Thorp, F. Mussa-Ivaldi, C. Pierella, 2015, Neuropsychologia.

Functional reorganization of upper-body movement after spinal cord injury

F. Mussa-Ivaldi, A. Fishbach, M. Casadio, 2010, Experimental Brain Research.

Emergence of symmetric, modular, and reciprocal connections in recurrent networks with Hebbian learning

Ferdinando A. Mussa-Ivaldi, James C. Houk, Sherwin E. Hua, 1999, Biological Cybernetics.

Brain–machine interfaces: computational demands and clinical needs meet basic neuroscience

F. Mussa-Ivaldi, L. Miller, 2003, Trends in Neurosciences.

Motor Primitives , Force-Fields and the Equilibrium Point Theory

F. Mussa-Ivaldi, .

Transforming plans into actions by tuning passive behavior: a field-approximation approach

E. Bizzi, F. Mussa-Ivaldi, S. Giszter, 1991, Proceedings of the 1991 IEEE International Symposium on Intelligent Control.

The equilibrium-point framework: A point of departure

Emilio Bizzi, Simon F. Giszter, Neville Hogan, 1992 .

The Separate Neural Control of Hand Movements and Contact Forces

K. Lynch, F. Mussa-Ivaldi, M. A. Krutky, 2009, The Journal of Neuroscience.

MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES

F. Mussa-Ivaldi, R. Shadmehr, 2001 .

Evaluation of robotic training forces that either enhance or reduce error in chronic hemiparetic stroke survivors

J. Patton, F. Mussa-Ivaldi, M. Stoykov, 2005, Experimental Brain Research.

Adaptation to Laterally Asymmetrical Visuomotor Delay Has an Effect on Action But Not on Perception

F. Mussa-Ivaldi, Guy Avraham, I. Nisky, 2019, Front. Hum. Neurosci..

Effects of Visuomotor Delays on the Control of Movement and on Perceptual Localization in the Presence and Absence of Visual Targets.

F. Mussa-Ivaldi, Guy Avraham, I. Nisky, 2019, Journal of neurophysiology.

Neglect-Like Effects on Drawing Symmetry Induced by Adaptation to a Laterally Asymmetric Visuomotor Delay

F. Mussa-Ivaldi, Guy Avraham, I. Nisky, 2018, Front. Hum. Neurosci..

Custom-designed haptic training for restoring reaching ability to individuals with poststroke hemiparesis.

J. Patton, F. Mussa-Ivaldi, M. Kovic, 2006, Journal of rehabilitation research and development.

A Bidirectional Brain-Machine Interface Algorithm That Approximates Arbitrary Force-Fields

Francois D. Szymanski, F. Mussa-Ivaldi, S. Panzeri, 2014, PloS one.

Manual Skill Generalization Enhanced by Negative Viscosity 1 2

J. Patton, F. Mussa-Ivaldi, F. Huang, 2010 .

Robot-amplified manual exploration improves load identification.

F A Mussa-Ivaldi, J L Patton, J. Patton, 2009, IFMBE proceedings.

Interactive priming enhanced by negative damping aids learning of an object manipulation task

J. Patton, Felix Huang, F. Mussa-Ivaldi, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

The Cambridge Handbook of Computational Psychology: Models of Motor Control

Ferdinando A. Mussa-Ivaldi, Sara A. Solla, S. Solla, 2008 .

The first type of Modular features of motor control and learning

F. Mussa-Ivaldi, 2022 .

Model for Human Control of a Non-Rigid Object " Flexible Control of Flexible Objects

F. Mussa-Ivaldi, J. Dingwell, C. D. Mah, 2004 .

Tactile proprioceptive input in robotic rehabilitation after stroke

Ferdinando A. Mussa-Ivaldi, Todd D. Murphey, Robert A. Scheidt, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Energy Exchanges at Contact Events Guide Sensorimotor Integration Across Intermodal Delays

F. Mussa-Ivaldi, A. Sciutti, Ali Farshchiansadegh, 2017, bioRxiv.

Motor Organization in the Frog’s Spinal Cord

Ferdinando A. Mussa-Ivaldi, Emilio Bizzi, S. F. Giszter, 1992 .

Sensorimotor Integration: Models

F. Mussa-Ivaldi, A. Fishbach, 2009 .

Prespecified After-effects Elicited from Robotic Force Fields

J. Patton, F. Mussa-Ivaldi, 2000 .

Simultaneity in Perception of Knocking

F. Mussa-Ivaldi, A. Karniel, A. Pressman, 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Perception of Delayed Stiffness Perception of Delayed Stiffness

F. Mussa-Ivaldi, A. Karniel, A. Pressman, 2007 .

Geometrical and mechanical issues in movement planning and control

E. Bizzi, F. A. Mussa-Ivaldi, E. Bizzi, 1989 .

Adaptation to a Space-variant Visuomotor Delay can Cause Neglect-like Effects on Drawing Symmetry

F. Mussa-Ivaldi, Guy Avraham, I. Nisky, 2017, bioRxiv.

Linear and Non-linear Dimensionality-Reduction Techniques on Full Hand Kinematics

F. Mussa-Ivaldi, E. Rombokas, M. Casadio, 2020, Frontiers in Bioengineering and Biotechnology.

Learning Kinematic Constraints in Laparoscopic Surgery

Ferdinando A. Mussa-Ivaldi, James L. Patton, Carla M. Pugh, 2012, IEEE Transactions on Haptics.

Learning to Control Complex Rehabilitation Robot Using High-Dimensional Interfaces

Jongmin M. Lee, B. Argall, F. Mussa-Ivaldi, 2022, bioRxiv.

Memorized-Delay Reaching Task With Direction and Amplitude During a Covariation of Primate Dorsal Premotor Cell Activity

Byron M. Yu, Matthew T. Kaufman, Gary C. Sing, 2011 .

Development of a Planar Haptic Robot With Minimized Impedance

Junho Choi, William Zev Rymer, Seunghan Park, 2020, IEEE Transactions on Biomedical Engineering.

Using Upper-Body Motions to Control Power Wheelchairs for Individuals with Tetraplegia

Elias B. Thorp, Ismael Seanez Gonzalez, F. Mussa-Ivaldi, 2022 .

The coordinate system for force control

F. Mussa-Ivaldi, E. Perreault, W. Murray, 2015, Experimental Brain Research.

Body-Machine Interfaces after Spinal Cord Injury: Rehabilitation and Brain Plasticity

Ferdinando A. Mussa-Ivaldi, Camilla Pierella, Ismael Seáñez-González, 2016, Brain sciences.

Cursor control by Kalman filter with a non-invasive body–machine interface

Ismael Seáñez-González, Ferdinando A Mussa-Ivaldi, F. Mussa-Ivaldi, 2014, Journal of neural engineering.

How Much Coordination Can be Obtained without Representing Time

Ferdinando A. Mussa-Ivaldi, F. Mussa-Ivaldi, 2000 .

Repeatable spatial maps of a few force and joint torque patterns elicited by microstimulation applied throughout the lumbar spinal cord of the spinal frog

Ferdinando A. Mussa-Ivaldi, Emilio Bizzi, E. Bizzi, 2000 .

Learning new movements after paralysis: Results from a home-based study

Maura Casadio, Camilla Pierella, Ismael Seáñez-González, 2017, Scientific Reports.

Remapping hand movements in a novel geometrical environment.

Ferdinando A Mussa-Ivaldi, Robert A Scheidt, Santiago Acosta, 2005, Journal of neurophysiology.

From basis functions to basis fields: vector field approximation from sparse data

Ferdinando A. Mussa-Ivaldi, F. Mussa-Ivaldi, 1992, Biological Cybernetics.

Neural primitives for motion control

F.A. Mussa-Ivaldi, S.A. Solla, S. Solla, 2004, IEEE Journal of Oceanic Engineering.

Evidence for a specific internal representation of motion–force relationships during object manipulation

Ferdinando A. Mussa-Ivaldi, Christopher D. Mah, F. Mussa-Ivaldi, 2003, Biological Cybernetics.

Effects of optimal tactile feedback in balancing tasks: A pilot study

Ferdinando A. Mussa-Ivaldi, Todd D. Murphey, Robert A. Scheidt, 2014, 2014 American Control Conference.

The Body-Machine Interface: A New Perspective on an Old Theme

Rajiv Ranganathan, Maura Casadio, Ferdinando A Mussa-Ivaldi, 2012, Journal of motor behavior.

Dynamic brain-machine interface: A novel paradigm for bidirectional interaction between brains and dynamical systems

Ferdinando A. Mussa-Ivaldi, Luciano Fadiga, Marianna Semprini, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Body machine interface: Remapping motor skills after spinal cord injury

M. Casadio, A. Pressman, S. Acosta, 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

Controlling wheelchairs by body motions: A learning framework for the adaptive remapping of space pdf

Tauseef Gulrez, Alon Fishbach, Ferdinando A. Mussa-Ivaldi, 2011, ArXiv.

New Perspectives on the Dialogue between Brains and Machines

Ferdinando A. Mussa-Ivaldi, Luciano Fadiga, Marianna Semprini, 2009, Front. Neurosci..

Computational analysis in vitro: dynamics and plasticity of a neuro-robotic system

Michela Chiappalone, Amir Karniel, Vittorio Sanguineti, 2005, Journal of neural engineering.

Dynamic properties of the lamprey's neuronal circuits as it drives a two-wheeled robot

Ferdinando A. Mussa-Ivaldi, Amir Karniel, Vittorio Sanguineti, 2002 .

Linear combinations of nonlinear models for predicting human–machine interface forces

Ferdinando A. Mussa-Ivaldi, James L. Patton, J. Patton, 2002, Biological Cybernetics.

Connecting Brains to Robots: An Artificial Body for Studying the Computational Properties of Neural Tissues

Ferdinando A. Mussa-Ivaldi, Vittorio Sanguineti, Bernard D. Reger, 2000, Artificial Life.

Multi-Joint Arm Posture — New Perspectives on the Control of Arm Posture

Emilio Bizzi, Neville Hogan, Ferdinando A. Mussa-Ivaldi, 1987 .

Building an adaptive interface via unsupervised tracking of latent manifolds

Ferdinando A. Mussa-Ivaldi, Maura Casadio, Fabio Rizzoglio, 2021, Neural Networks.

Sequence, time, or state representation: how does the motor control system adapt to variable environments?

Ferdinando A. Mussa-Ivaldi, Amir Karniel, F. Mussa-Ivaldi, 2003, Biological Cybernetics.

Generalization of Object Manipulation Skills Learned without Limb Motion

Christopher D Mah, Ferdinando A Mussa-Ivaldi, F. Mussa-Ivaldi, 2003, The Journal of Neuroscience.

Interaction of visual and proprioceptive feedback during adaptation of human reaching movements.

Ferdinando A Mussa-Ivaldi, Robert A Scheidt, Emanuele L Secco, 2005, Journal of neurophysiology.

Stretching the skin immediately enhances perceived stiffness and gradually enhances the predictive control of grip force

Ilana Nisky, Raz Leib, Ferdinando A Mussa-Ivaldi, 2020, eLife.

Robotics and Virtual Reality: A Perfect Marriage for Motor Control Research and Rehabilitation

Chris Scharver, Greg Dawe, James Patton, 2006, Assistive technology : the official journal of RESNA.

Persistence of motor adaptation during constrained, multi-joint, arm movements.

R A Scheidt, F A Mussa-Ivaldi, M A Conditt, 2000, Journal of neurophysiology.

Analytical Study of Perceptual and Motor Transparency in Bilateral Teleoperation

Ferdinando A. Mussa-Ivaldi, Ilana Nisky, Amir Karniel, 2013, IEEE Transactions on Human-Machine Systems.

Reorganization of finger coordination patterns during adaptation to rotation and scaling of a newly learned sensorimotor transformation.

Maura Casadio, Xiaolin Liu, Ferdinando A Mussa-Ivaldi, 2011, Journal of neurophysiology.

Does the motor control system use multiple models and context switching to cope with a variable environment?

F. A. Mussa-Ivaldi, A. Karniel, F. Mussa-Ivaldi, 2002, Experimental Brain Research.

Geometric Structure of the Adaptive Controller of the Human Arm

Ferdinando A. Mussa-Ivaldi, Reza Shadmehr, F. Mussa-Ivaldi, 1993 .

Stretching the skin of the fingertip creates a perceptual and motor illusion of touching a harder spring

Ferdinando A. Mussa-Ivaldi, Ilana Nisky, Raz Leib, 2017, bioRxiv.

State-Based Delay Representation and Its Transfer from a Game of Pong to Reaching and Tracking

Ilana Nisky, Raz Leib, Amir Karniel, 2017, eNeuro.

Representing delayed force feedback as a combination of current and delayed states.

Ferdinando A. Mussa-Ivaldi, Ilana Nisky, Firas Mawase, 2017, Journal of neurophysiology.

Perception and Action in Teleoperated Needle Insertion

Ferdinando A. Mussa-Ivaldi, Ilana Nisky, Amir Karniel, 2011, IEEE Transactions on Haptics.

Probing Virtual Boundaries and the Perception of Delayed Stiffness

Ferdinando A. Mussa-Ivaldi, Ilana Nisky, Amir Karniel, 2008, Adv. Robotics.

During Adaptation of Human Reaching Movements Interaction of Visual and Proprioceptive Feedback

Ferdinando A. Mussa-Ivaldi, Robert A. Scheidt, Michael A. Conditt, 2005 .

Shaping the Dynamics of a Bidirectional Neural Interface

Ferdinando A. Mussa-Ivaldi, Luciano Fadiga, Marianna Semprini, 2012, PLoS Comput. Biol..

Robot-assisted adaptive training: custom force fields for teaching movement patterns

Ferdinando A. Mussa-Ivaldi, James L. Patton, J. Patton, 2004, IEEE Transactions on Biomedical Engineering.

Interference in Learning Internal Models of Inverse Dynamics in Humans

Ferdinando A. Mussa-Ivaldi, Reza Shadmehr, Tom Brashers-Krug, 1994, NIPS.

How Soft Is That Pillow? The Perceptual Localization of the Hand and the Haptic Assessment of Contact Rigidity

Ferdinando A. Mussa-Ivaldi, Amir Karniel, Assaf Pressman, 2011, The Journal of Neuroscience.

Enhanced assessment of limb neuro-mechanics via a haptic display

James L Patton, Davide Piovesan, Alejandro Melendez-Calderon, 2014, ROBIO 2014.

Haptic recognition of dystonia and spasticity in simulated multi-joint hypertonia

Ferdinando A. Mussa-Ivaldi, Davide Piovesan, Alejandro Melendez-Calderon, 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).

Therapist recognition of impaired muscle groups in simulated multi-joint hypertonia

Ferdinando A. Mussa-Ivaldi, Davide Piovesan, Alejandro Melendez-Calderon, 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).

Haptic interaction with virtual objects

Ferdinando A. Mussa-Ivaldi, Neville Hogan, Bruce A. Kay, 2000, Biological Cybernetics.

Simple Mechanical Constraint to Single-Joint Arm Movements Studied Using a Control Strategies for the Transition From Multijoint

David J. Reinkensmeyer, Ferdinando A. Mussa-Ivaldi, Robert A. Scheidt, 2015 .

Learning to be Lazy: Exploiting Redundancy in a Novel Task to Minimize Movement-Related Effort

Rajiv Ranganathan, Ferdinando A Mussa-Ivaldi, F. Mussa-Ivaldi, 2013, The Journal of Neuroscience.

The control of stable postures in the multijoint arm

E. Bizzi, J. McIntyre, F. A. Mussa-Ivaldi, 1996, Experimental Brain Research.

Haptic simulator of abnormal biomechanics during patient-clinician interaction

D. Piovesan, F. A. Mussa-Ivaldi, J. L. Patton, 2022 .

Brain-Machine Interactions for Assessing the Dynamics of Neural Systems

Ferdinando A. Mussa-Ivaldi, Michela Chiappalone, Michael Kositsky, 2008, Front. Neurorobot..

Learning new movements after paralysis: Results from a home-based study

Elias B. Thorp, F. Mussa-Ivaldi, C. Pierella, 2017, Scientific Reports.

A body-machine interface for training selective pelvis movements in stroke survivors: A pilot study

Ferdinando A. Mussa-Ivaldi, Maura Casadio, Psiche Giannoni, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Combining Metrics From Clinical Simulators and Sensorimotor Tasks Can Reveal the Training Background of Surgeons

Ferdinando A. Mussa-Ivaldi, Carla M. Pugh, Felix C. Huang, 2019, IEEE Transactions on Biomedical Engineering.

The body–machine interface: a pathway for rehabilitation and assistance in people with movement disorders

Rajiv Ranganathan, Maura Casadio, Ferdinando A Mussa-Ivaldi, 2013, Expert review of medical devices.

Sensory motor remapping of space in human-machine interfaces.

Maura Casadio, Ferdinando A Mussa-Ivaldi, Robert A Scheidt, 2011, Progress in brain research.

Perception of Stiffness in Laparoscopy - the Fulcrum Effect

Ilana Nisky, Amir Karniel, Carla M. Pugh, 2012, MMVR.

Dynamical dimension of a hybrid neurorobotic system

M. Kositsky, A. Karniel, S. Alford, 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

A Regression and Boundary-Crossing-Based Model for the Perception of Delayed Stiffness

Ferdinando A. Mussa-Ivaldi, Ilana Nisky, Amir Karniel, 2008, IEEE Transactions on Haptics.

Learning Redundant Motor Tasks with and without Overlapping Dimensions: Facilitation and Interference Effects

Rajiv Ranganathan, Ferdinando A Mussa-Ivaldi, Robert A Scheidt, 2014, The Journal of Neuroscience.

Development of an EMG-Controlled Serious Game for Rehabilitation

Derek G. Kamper, Rajiv Ranganathan, Ferdinando A. Mussa-Ivaldi, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Integrable Solutions of Kinematic Redundancy via Impedance Control

Neville Hogan, Ferdinando A. Mussa-Ivaldi, N. Hogan, 1991, Int. J. Robotics Res..

Forward Models in Visuomotor Control

F. A. Mussa-Ivaldi, Christopher D. Mah, J. B. Dingwell, 2006 .

Energy exchanges at contact events guide sensorimotor integration

Alessandra Sciutti, Ilana Nisky, Ferdinando A Mussa-Ivaldi, 2018, eLife.

Perception and Action in Simulated Telesurgery

Ferdinando A. Mussa-Ivaldi, Ilana Nisky, Amir Karniel, 2010, EuroHaptics.

Manipulating objects with internal degrees of freedom: evidence for model-based control.

Christopher D Mah, Ferdinando A Mussa-Ivaldi, Jonathan B Dingwell, 2002, Journal of neurophysiology.

Guiding functional reorganization of motor redundancy using a body-machine interface

F. Mussa-Ivaldi, Dalia De Santis, 2020, Journal of NeuroEngineering and Rehabilitation.

Learning Algorithms for Human–Machine Interfaces

Zachary Danziger, Alon Fishbach, Ferdinando A. Mussa-Ivaldi, 2009, IEEE Transactions on Biomedical Engineering.

Haptic identification of surfaces as fields of force.

James L Patton, Ferdinando A Mussa-Ivaldi, Kevin M Lynch, 2006, Journal of neurophysiology.

Learning to push and learning to move: the adaptive control of contact forces

Ferdinando A. Mussa-Ivaldi, Maura Casadio, Assaf Pressman, 2015, Front. Comput. Neurosci..

Stability constraints for the distributed control of motor behavior

Ferdinando A. Mussa-Ivaldi, Emilio Bizzi, Joseph McIntyre, 1993, Neural Networks.

Computational Elements of the Adaptive Controller of the Human Arm

Ferdinando A. Mussa-Ivaldi, Reza Shadmehr, F. Mussa-Ivaldi, 1993, NIPS.

Vector field approximation: a computational paradigm for motor control and learning

Ferdinando A. Mussa-Ivaldi, Simon F. Giszter, F. Mussa-Ivaldi, 1992, Biological Cybernetics.

A field-approximation approach to the execution of motor plans

F.A. Mussa-Ivaldi, S.F. Giszter, F. Mussa-Ivaldi, 1991, Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments.

Movement Primitives in the Frog Spinal Cord

Ferdinando A. Mussa-Ivaldi, Emilio Bizzi, Simon F. Giszter, 1993 .

The Organization of Limb Motor Space in the Spinal Cord

Ferdinando A. Mussa-Ivaldi, Emilio Bizzi, E. Bizzi, 1992 .

Robots can teach people how to move their arm

Ferdinando A. Mussa-Ivaldi, James L. Patton, J. Patton, 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

Designing Visual Feedback to Reshape Muscle Coordination

Dalia De Santis, F. Mussa-Ivaldi, Ali Farshchiansadegh, 2018, Converging Clinical and Engineering Research on Neurorehabilitation III.

The Influence of Visual Motion on Motor Learning

Zachary Danziger, Ferdinando A Mussa-Ivaldi, F. Mussa-Ivaldi, 2012, The Journal of Neuroscience.

Upper Body-Based Power Wheelchair Control Interface for Individuals With Tetraplegia

Camilla Pierella, Mei-Hua Lee, David Chen, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Body machine interfaces for neuromotor rehabilitation: A case study

Ferdinando A. Mussa-Ivaldi, Maura Casadio, Camilla Pierella, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Manual skill generalization enhanced by negative viscosity.

Felix C Huang, James L Patton, Ferdinando A Mussa-Ivaldi, 2010, Journal of neurophysiology.

A body machine interface based on inertial sensors

Ferdinando A. Mussa-Ivaldi, Camilla Pierella, Mei-Hua Lee, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Non-Linear Body Machine Interface for Controlling Assistive Robotic Arms

F. Mussa-Ivaldi, M. Casadio, Fabio Rizzoglio, 2023, IEEE Transactions on Biomedical Engineering.

Learning to Control Complex Robots Using High-Dimensional Interfaces: Preliminary Insights pdf

Ferdinando A. Mussa-Ivaldi, Brenna Argall, Dalia De Santis, 2021, ArXiv.

Recovery of Distal Arm Movements in Spinal Cord Injured Patients with a Body-Machine Interface: A Proof-of-Concept Study

Ferdinando A. Mussa-Ivaldi, Alice De Luca, Antonino Massone, 2021, Sensors.

Body-Machine Interface Enables People With Cervical Spinal Cord Injury to Control Devices With Available Body Movements: Proof of Concept

Rajiv Ranganathan, Maura Casadio, Camilla Pierella, 2017, Neurorehabilitation and neural repair.

Adaptation to visual feedback delay in a redundant motor task.

Rajiv Ranganathan, Maura Casadio, Ferdinando A Mussa-Ivaldi, 2015, Journal of neurophysiology.

White matter microstructure changes induced by motor skill learning utilizing a body machine interface

Xue Wang, Ferdinando A. Mussa-Ivaldi, Maura Casadio, 2014, NeuroImage.

Sensory Agreement Guides Kinetic Energy Optimization of Arm Movements during Object Manipulation

Rajiv Ranganathan, Ferdinando A. Mussa-Ivaldi, Todd D. Murphey, 2016, PLoS Comput. Biol..

Controlling an Assistive Robotic Manipulator via a Non-linear Body-Machine Interface

Ferdinando A. Mussa-Ivaldi, Maura Casadio, Fabio Rizzoglio, 2021, Biosystems & Biorobotics.

A hybrid Body-Machine Interface integrating signals from muscles and motions

Maura Casadio, Camilla Pierella, Ferdinando A Mussa-Ivaldi, 2020, Journal of neural engineering.

Unsupervised Coadaptation of an Assistive Interface to Facilitate Sensorimotor Learning of Redundant Control

Ferdinando A. Mussa-Ivaldi, Dalia De Santis, Patrycja Dzialecka, 2018, 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob).

Linear vs Non-Linear Mapping in a Body Machine Interface Based on Electromyographic Signals

Ferdinando A. Mussa-Ivaldi, Maura Casadio, Camilla Pierella, 2018, 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob).

Assistive robotic manipulation through shared autonomy and a Body-Machine Interface

Brenna Argall, Alexander Broad, Siddarth Jain, 2015, 2015 IEEE International Conference on Rehabilitation Robotics (ICORR).

Perceptuo-Motor Transparency in Bilateral Teleoperation

Ferdinando A. Mussa-Ivaldi, Ilana Nisky, Amir Karniel, 2008 .

The Concurrent Control of Motion and Contact Force in the Presence of Predictable Disturbances.

Ferdinando A. Mussa-Ivaldi, Kevin M. Lynch, Maxim Kolesnikov, 2019, Journal of mechanisms and robotics.

Movement control: Does the nervous system use equilibrium-point control to guide single and multiple joint movements?

Ferdinando A. Mussa-Ivaldi, Emilio Bizzi, Neville Hogan, 1994 .

A Myoelectric Computer Interface for Reducing Abnormal Muscle Activations after Spinal Cord Injury

Elisabetta Quinland, Maura Casadio, Fabio Rizzoglio, 2019, 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR).

Equilibrium point mechanisms in the spinal frog

Ferdinando A. Mussa-Ivaldi, Emilio Bizzi, Simon F. Giszter, 1991 .

Regulation of multi-joint arm posture and movement.

F A Mussa-Ivaldi, E Bizzi, N Hogan, 1986, Progress in brain research.

Toward a neurobiology of coordinate transformations

Ferdinando A. Mussa-Ivaldi, Emilio Bizzi, E. Bizzi, 1995 .

Implicit learning of object geometry by reducing contact forces and increasing smoothness pdf

Ferdinando A. Mussa-Ivaldi, Daohang Sha, James L. Patton, 2011, ArXiv.

Minimum Jerk Reaching Movements of Human Arm with Mechanical Constraints at Endpoint

Ferdinando A. Mussa-Ivaldi, James L. Patton, D. H. Sha, 2006, Int. J. Comput. Syst. Signals.

Does the nervous system use equilibrium-point control to guide single and multiple joint movements?

N. Hogan, E. Bizzi, F. A. Mussa-Ivaldi, 1992, The Behavioral and brain sciences.

Multijoint arm stiffness during movements following stroke: Implications for robot therapy

M. Casadio, F. A. Mussa-Ivaldi, D. Piovesan, 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

Robotics and virtual reality: the development of a life-sized 3-D system for the rehabilitation of motor function

F.A. Mussa-Ivaldi, J.L. Patton, G. Dawe, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Adaptive representation of dynamics during learning of a motor task

F A Mussa-Ivaldi, R Shadmehr, F. Mussa-Ivaldi, 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

Body machine interface: Remapping motor skills after spinal cord injury

F. Mussa-Ivaldi, A. Fishbach, M. Casadio, 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

White matter microstructure changes induced by motor skill learning utilizing a body machine interface

F. Mussa-Ivaldi, T. Parrish, M. Casadio, 2014, NeuroImage.

of the 23 rd Annual EMBS International Conference , October 25-28 , Istanbul , Turkey ALTERING MOVEMENT PATTERNS IN HEALTHY AND BRAIN-INJURED SUBJECTS VIA CUSTOM DESIGNED ROBOTIC FORCES

W.Z. Rymer, F.A. Mussa-Ivaldi, J.L. Patton, 2004 .

Cortical control of motor learning

Ferdinando A. Mussa-Ivaldi, Emilio Bizzi, Camillo Padoa-Schioppa, 2004 .

Seeing versus Believing: Conflicting Immediate and Predicted Feedback Lead to Suboptimal Motor Performance

Alon Fishbach, Ferdinando A Mussa-Ivaldi, F. Mussa-Ivaldi, 2008, The Journal of Neuroscience.

Adaptation to Delayed Force Perturbations in Reaching Movements

Amir Karniel, Ferdinando A. Mussa-Ivaldi, Assaf Pressman, 2010, PloS one.

Learning to move amid uncertainty.

R A Scheidt, J B Dingwell, F A Mussa-Ivaldi, 2001, Journal of neurophysiology.

A bidirectional brain-machine interface connecting alert rodents to a dynamical system

Ferdinando A. Mussa-Ivaldi, Fabio Boi, Marianna Semprini, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The acquisition of motor behavior

E. Bizzi, F. Mussa-Ivaldi, 2017 .

Psycho-Motor and Error Enabled Simulations Modeling Vulnerable Skills in the Pre-Mastery Phase - Medical Practice Initiative Procedural Skill Decay and Maintenance (MPI-PSD)

Ferdinando A. Mussa-Ivaldi, Andrea H. Mason, Eugene F. Foley, 2014 .

Persistence of motor adaptation during constrained, multi-joint, arm movements.

W. Rymer, F. Mussa-Ivaldi, D. Reinkensmeyer, 2000, Journal of neurophysiology.

The motor system does not learn the dynamics of the arm by rote memorization of past experience.

F. Mussa-Ivaldi, F. Gandolfo, M. Conditt, 1997, Journal of neurophysiology.

Reorganization of finger coordination patterns during adaptation to 1 rotation and scaling of a newly learned sensorimotor transformation 2 3

F. Mussa-Ivaldi, K. Mosier, R. Scheidt, 2010 .

Robotic Teaching By Exploiting the Nervous System's Adaptive Mechanisms

James L. Patton, Ferdinando A. Mussa-Ivaldi, J. Patton, 2001 .

The Mechanical Representation of Temporal Delays

Raz Leib, Amir Karniel, Ferdinando A Mussa-Ivaldi, 2017, Scientific Reports.