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

Learning from the spinal cord.

G E Loeb1

  • 1University of Southern California, Los Angeles, CA, USA. gloeb@usc.edu

The Journal of Physiology
|May 15, 2001
PubMed
Summary
This summary is machine-generated.

The vertebrate spinal cord demonstrates complex limb control, offering insights for robotics and neuroprosthetics. Understanding this biological system is crucial for restoring function in paralyzed limbs.

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

Toward Perceiving Robots as Humans: Three Handshake Models Face the Turing-Like Handshake Test.

IEEE transactions on haptics·2016
Same author

Flexible communication and control protocol for injectable neuromuscular interfaces.

IEEE transactions on biomedical circuits and systems·2013
Same author

Force estimation from ensembles of Golgi tendon organs.

Journal of neural engineering·2009
Same author

Computationally efficient models of neuromuscular recruitment and mechanics.

Journal of neural engineering·2008
Same author

Model-based sensorimotor integration for multi-joint control: development of a virtual arm model.

Annals of biomedical engineering·2008
Same author

RF-powered BIONs for stimulation and sensing.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2007
Same journal

Diving exposure and pulmonary stress.

The Journal of physiology·2026
Same journal

Systems modelling of mitochondrial dynamics in different exercise regimes.

The Journal of physiology·2026
Same journal

Central leptin resistance precedes obesity and drives early endocrine dysfunction.

The Journal of physiology·2026
Same journal

Decoding the molecular memory of obesity using machine learning and microRNA dynamics.

The Journal of physiology·2026
Same journal

Kinematic-calcium loops unravel impaired excitation-contraction coupling in MELAS-affected cardioids.

The Journal of physiology·2026
Same journal

hERG1 channels and potential therapeutics for long QT syndrome.

The Journal of physiology·2026
See all related articles

Area of Science:

  • Neuroscience
  • Robotics
  • Biomechanics

Background:

  • Controlling multiarticulated limbs with slow, non-linear actuators like muscles is a significant challenge in robotic engineering.
  • The vertebrate spinal cord serves as a biological model for achieving graceful control over such complex systems.
  • Despite extensive research, the spinal cord's precise mechanisms for limb control remain incompletely understood.

Purpose of the Study:

  • To highlight the spinal cord's crucial role in biological limb control.
  • To draw parallels between biological control systems and challenges in robotic engineering.
  • To underscore the importance of spinal cord research for neuroprosthetic applications like functional electrical stimulation and spinal cord regeneration.

Main Methods:

  • Review of neurophysiological research on spinal cord function.

Related Experiment Videos

  • Analogical reasoning comparing spinal cord control to marionette puppet systems.
  • Discussion of challenges in reanimating paralyzed limbs.

    • Main Results:

    • The spinal cord effectively manages a large number of partially redundant actuators (motor neurons) for limb movement.
    • The complexity of biological control systems presents a benchmark for robotic solutions.
    • Understanding spinal cord circuitry is essential for developing effective neuroprosthetic interventions.

    Conclusions:

    • The spinal cord's control strategies offer valuable lessons for designing advanced robotic systems.
    • Further research into spinal cord mechanisms is vital for advancing treatments for paralysis.
    • Analogies, such as the marionette puppet, can aid in conceptualizing complex control problems.