Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Motor learning by field approximation

F Gandolfo1, F A Mussa-Ivaldi, E Bizzi

  • 1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge 02139-4307, USA.

Proceedings of the National Academy of Sciences of the United States of America
|April 30, 1996
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Recurrent pericarditis in children: Clinical and therapeutic differences from adults.

International journal of cardiology·2026
Same author

Depemokimab and the twice-yearly regimen: pharmacological implications and therapeutic positioning in severe eosinophilic respiratory diseases.

Frontiers in immunology·2026
Same author

Fetal-hope study: Home monitoring of fetal heart rate in SSA + pregnant women: Rationale and design.

European journal of obstetrics, gynecology, and reproductive biology·2024
Same author

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

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2019
Same author

Changes in neuromuscular activity during motor training with a body-machine interface after spinal cord injury.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2017
Same author

HyalOne® in the treatment of symptomatic hip OA - data from the ANTIAGE register: seven years of observation.

European review for medical and pharmacological sciences·2017
Same journal

The TaMYB55-TaSnRK1α1-TabZIP9 module confers heat stress tolerance in wheat.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Superstatistics approach to turbulent circulation fluctuations.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

A molecular timescale for evolution of cobamide biosynthesis.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Pierre Chambon, a pioneer of molecular biology and gene regulation in eukaryotes.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Granulosa cell glycogen fuels the avascular corpus luteum.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Synthetic essentiality of TRAIL/TNFSF10 in VHL-deficient renal cell carcinoma.

Proceedings of the National Academy of Sciences of the United States of America·2026
See all related articles

Human subjects learn to cancel perturbing forces by predicting them using the central nervous system (CNS). This adaptation is spatially specific, relying on an internal model of forces in intrinsic limb coordinates.

Area of Science:

  • Motor control
  • Human adaptation
  • Neuroscience

Background:

  • Human limb movement is complex, involving adaptation to external forces.
  • The central nervous system (CNS) plays a crucial role in motor learning and adaptation.

Purpose of the Study:

  • To investigate how human subjects adapt to externally applied forces perturbing arm motion.
  • To understand the predictive capacity of the CNS in canceling perturbing forces.
  • To determine the spatial characteristics and coordinate frame of this motor adaptation.

Main Methods:

  • Human subjects performed arm movements under externally applied force fields.
  • Analysis of motor adaptation and compensation in response to perturbations.
  • Investigated the spatial extent and decay of adaptation.

Related Experiment Videos

  • Examined the coordinate frame (intrinsic vs. extrinsic) used by the CNS for internal modeling.
  • Main Results:

    • CNS adaptation to perturbing forces is spatially localized to experienced locations.
    • Adaptation shows a smooth and rapid decay with increasing distance from experienced locations.
    • The CNS constructs an internal model of perturbing forces in intrinsic (muscles/joints) coordinates.

    Conclusions:

    • Motor adaptation to perturbing forces relies on CNS prediction and cancellation mechanisms.
    • The spatial specificity of adaptation suggests a localized internal model.
    • The use of intrinsic coordinates indicates the CNS models forces at the level of muscles and joints.