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 Video

Updated: May 6, 2026

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.3K

Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic

Jesús A Garrido1, Niceto R Luque, Egidio D'Angelo

  • 1Neurophysiology Unit, Department of Brain and Behavioral Sciences, University of Pavia Pavia, Italy ; A. Volta Physics Department, Consorzio Interuniversitario per le Scienze Fisiche della Materia, University of Pavia Research Unit Pavia, Italy.

Frontiers in Neural Circuits
|October 17, 2013
PubMed
Summary

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

Virtual brain and electroencephalography explain the variance of memory alterations in mild cognitive impairment.

Alzheimer's research & therapy·2026
Same author

Measuring Electrophysiological Activity in Acute Brain Slices, Spheroids, and Organoids Using 3D High-Density Multielectrode Arrays.

Bio-protocol·2026
Same author

Alterations in topological and dynamical parameters correlate with disease biomarkers and neuropsychological scores in prodromic stages of dementia.

Scientific reports·2026
Same author

Data-driven mouse motor thalamus model reveals topography and spatial weight scaling govern spindle dynamics.

Communications biology·2026
Same author

Infants' spontaneous movements explore arm dynamics.

Communications biology·2026
Same author

Editorial: Multiscale brain modelling.

Frontiers in cellular neuroscience·2026

Distributed synaptic plasticity in the cerebellum, including LTD and LTP, enables adaptable gain regulation for motor control. This model shows enhanced learning of body-object dynamics compared to single-site plasticity.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Robotics

Background:

  • Cerebellar loops regulate motor control through adaptable gain.
  • Long-term synaptic plasticity, particularly LTD at PF-PC synapses, is crucial for learning body-object dynamics.
  • Single-site plasticity models do not fully explain the cerebellum's adaptation capabilities.

Purpose of the Study:

  • To investigate the role of distributed synaptic plasticity across multiple cerebellar sites.
  • To develop a computational model of the cerebellum with plasticity at PF-PC, MF-DCN, and PC-DCN synapses.
  • To assess the model's ability to learn arm-object dynamics and adapt gain regulation.

Main Methods:

  • An analog cerebellar model was created and integrated into a control loop with a robotic simulator.
Keywords:
cerebellar nucleigain controllearning consolidationlong-term synaptic plasticitymodeling

More Related Videos

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats
08:59

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats

Published on: June 22, 2015

9.9K
A Fine Motor Task to Study Joint Kinematics in a Preclinical Model of Neurodegenerative Disease
05:39

A Fine Motor Task to Study Joint Kinematics in a Preclinical Model of Neurodegenerative Disease

Published on: June 13, 2025

1.0K

Related Experiment Videos

Last Updated: May 6, 2026

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.3K
Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats
08:59

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats

Published on: June 22, 2015

9.9K
A Fine Motor Task to Study Joint Kinematics in a Preclinical Model of Neurodegenerative Disease
05:39

A Fine Motor Task to Study Joint Kinematics in a Preclinical Model of Neurodegenerative Disease

Published on: June 13, 2025

1.0K
  • The model incorporated both LTD and LTP at PF-PC, MF-DCN, and PC-DCN synapses.
  • A three-joint robotic arm performed repetitive manipulations with varying masses.

    • Main Results:

    • The distributed plasticity model demonstrated enhanced effectiveness compared to models with only PF-PC plasticity.
    • The system successfully self-adapted to different masses and learned arm-object dynamics.
    • PF-PC plasticity acted as a time correlator, while MF-DCN and PC-DCN plasticity generated the gain controller.

    Conclusions:

    • Distributed synaptic plasticity across multiple sites is essential for the cerebellum's complex learning properties.
    • This model provides insights into adaptable gain regulation and internal model generation in motor control.
    • Future extensions could incorporate more plasticity mechanisms and spiking signal processing.