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

A central pattern generator to control a pyloric-based system.

R Huerta1, M A Sánchez-Montañés, F Corbacho

  • 1Grupo de Neucomputación Biológica, E.T.S. de Ingeniería Informática, Universidad Autónoma de Madrid, Spain. huerta@roth.ucsd.edu

Biological Cybernetics
|January 29, 2000
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

Non-invasive brain stimulation for fine motor improvement after stroke: a meta-analysis.

European journal of neurology·2018
Same author

Timing control by redundant inhibitory neuronal circuits.

Chaos (Woodbury, N.Y.)·2014
Same author

Learning sensory maps with real-world stimuli in real time using a biophysically realistic learning rule.

IEEE transactions on neural networks·2008
Same author

Magnetic field influence on electrical properties of human blood measured by impedance spectroscopy.

Bioelectromagnetics·2005
Same author

Explaining synchrony in feed-forward networks: are McCulloch-Pitts neurons good enough?

Biological cybernetics·2003
Same author

Biophysical model of synaptic plasticity dynamics.

Biological cybernetics·2003
Same journal

Harmonic memory in phasor neural networks.

Biological cybernetics·2026
Same journal

Correction: Decreased spinal inhibition leads to undiversified locomotor patterns.

Biological cybernetics·2026
Same journal

Foundational issues of network models in biology.

Biological cybernetics·2026
Same journal

Dynamical mechanisms for coordinating long-term working memory based on the precision of spike-timing in cortical neurons.

Biological cybernetics·2026
Same journal

Distinct dopaminergic spike-timing-dependent plasticity rules are suited to different functional roles.

Biological cybernetics·2026
Same journal

Fluctuation-response relations for a two-stage population of spiking neurons stimulated by common noise.

Biological cybernetics·2026
See all related articles

Researchers developed a central pattern generator (CPG) using conductance-based models to control a mechanical system. Three neurons were found sufficient to achieve optimal food flow, proposing a new effective on-off connectivity principle for CPGs.

Area of Science:

  • Computational Neuroscience
  • Robotics
  • Biomimicry

Background:

  • Central pattern generators (CPGs) are neural circuits controlling rhythmic behaviors.
  • Lobster pyloric system serves as a biological model for CPG research.
  • Mechanical systems require control mechanisms inspired by biological systems.

Purpose of the Study:

  • To design and optimize a CPG for controlling a mechanical device.
  • To investigate the minimal neuronal requirements for achieving a desired output.
  • To propose a novel control principle for CPGs.

Main Methods:

  • Utilized conductance-based models for constructing CPG neurons.
  • Developed a mechanical system (plant) with a food flow maximization function.
  • Employed symmetric plant and identical model neurons to ensure unbiased solution space exploration.

Related Experiment Videos

Main Results:

  • Identified that three neurons are sufficient to generate positive food flow.
  • Demonstrated that the optimal solution is not unique.
  • Proposed an effective on-off connectivity principle for CPGs.

Conclusions:

  • A three-neuron CPG can effectively control the mechanical system for optimal function.
  • The effective on-off connectivity principle offers a new perspective on CPG design.
  • Experimental validation in the lobster pyloric system is suggested for future work.