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 Concept Videos

Mechanical Systems01:22

Mechanical Systems

Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically described...
Electro-mechanical Systems01:19

Electro-mechanical Systems

Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...

You might also read

Related Articles

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

Sort by
Same author

Duality of 5-HT Effects on Crayfish Motoneurons.

Frontiers in physiology·2019
Same author

Discrimination of bursts and tonic activity in multifunctional sensorimotor neural network using the extended hill-valley method.

Journal of neurophysiology·2019
Same author

The effect of sensory feedback on crayfish posture and locomotion: II. Neuromechanical simulation of closing the loop.

Journal of neurophysiology·2015
Same author

The effect of sensory feedback on crayfish posture and locomotion: I. Experimental analysis of closing the loop.

Journal of neurophysiology·2014
Same author

Spatial segregation of excitatory and inhibitory effects of 5-HT on crayfish motoneurons.

Journal of neurophysiology·2013
Same author

Neural circuit reconfiguration by social status.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2012
Same journal

Assessing circuit function in the developing <i>Xenopus</i> tadpole: a survey of the behavioral toolkit and underlying neural substrates.

Frontiers in behavioral neuroscience·2026
Same journal

Dawn of the dread: threatening cinematic virtual reality environments enhance general but not specific pavlovian-instrumental transfer.

Frontiers in behavioral neuroscience·2026
Same journal

Transcranial alternating current stimulation improves cognitive functions in healthy subjects through modifying frontoparietal and dorsal attention networks based on personalized individual theta frequency analysis.

Frontiers in behavioral neuroscience·2026
Same journal

Functional loss of PKMζ in the dorsal hippocampus potentiates the time-dependent increase in false contextual fear memory and impairs spatial recognition memory in mice.

Frontiers in behavioral neuroscience·2026
Same journal

Distinct orbitofrontal circuits with dorsal and ventral CA1 differentially regulate spatial memory and emotional behaviors.

Frontiers in behavioral neuroscience·2026
Same journal

Towards a neurophysiological model of kundalini: a theoretical framework informed by preliminary clinical observations.

Frontiers in behavioral neuroscience·2026
See all related articles

Related Experiment Video

Updated: Jun 10, 2026

Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

Neuromechanical simulation.

Donald H Edwards1

  • 1Neuroscience Institute, Georgia State University Atlanta, GA, USA.

Frontiers in Behavioral Neuroscience
|August 12, 2010
PubMed
Summary
This summary is machine-generated.

Neuromechanics uses simulations to link neural and biomechanical models, exploring brain-body-world interactions. This approach reveals how the nervous system and body mechanics synergize to control complex behaviors.

Keywords:
behaviorbiomechanicscomputational modelmotor controlmovementsensorimotor integrationsensory feedback

More Related Videos

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

Related Experiment Videos

Last Updated: Jun 10, 2026

Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

Area of Science:

  • Neuromechanics
  • Computational Neuroscience
  • Biophysics

Background:

  • The brain-body-world interaction is crucial for behavior control.
  • Neuromechanics studies the coupling between neural and biomechanical processes.
  • Simulation is a key tool in neuromechanics.

Purpose of the Study:

  • To explore dynamical relationships between the brain, body, and world using simulations.
  • To analyze complex neuromechanical systems in various animals.
  • To investigate hypotheses difficult to test experimentally.

Main Methods:

  • Connecting computational models of neural circuits with biomechanical models of animal bodies in virtual environments.
  • Utilizing simulations to close the feedback loop between neural activity, muscle contractions, and body movement.
  • Analyzing complex and dynamic neuromechanical systems.

Main Results:

  • Demonstrated synergistic function between the nervous system and body's mechanical properties.
  • Examined hypotheses that are challenging for experimental testing.
  • Explored the role of sensory feedback in controlling systems with many degrees of freedom.

Conclusions:

  • Neuromechanical simulations offer powerful insights into behavior control.
  • Key challenges include model abstraction, parameter grounding, optimization, and model sharing.
  • Further research is needed to refine modeling techniques and address common questions.