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

Simple central pattern generator model using phasic analog neurons.

D R McMillen1, G M D'Eleuterio, J R Halperin

  • 1Institute for Aerospace Studies, University of Toronto, 4925 Dufferin Street, Toronto, Ontario, Canada M3H 5T6. drm@sdr.utias.utoronto.ca

Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
|April 24, 2002
PubMed
Summary

Neural adaptation, where neuron responses decrease over time, is modeled using adaptive firing thresholds in analog neural models. This method enables the creation of stable oscillatory solutions in central pattern generators.

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

Social isolation increases social display after priming in Betta splendens but decreases aggressive readiness.

Behavioural processes·2014
Same author

Increased aggressiveness after brief social isolation of adult fish: a connectionist model which organizes this literature.

Behavioural processes·2014
Same author

Different aggressive behaviours are exaggerated by facing vs. broadside subliminal stimuli shown to socially isolated Siamese fighting fish, Betta splendens.

Behavioural processes·2014
Same author

Headache, nausea, and vomiting in a heavy drinker and smoker.

Hospital practice (1995)·1995
Same author

Extrapyramidal reaction to ondansetron.

Cancer·1992
Same author

Chronic blood-loss due to self-injection.

Lancet (London, England)·1973

Area of Science:

  • Computational Neuroscience
  • Neural Modeling
  • Biophysics

Background:

  • Biological neurons exhibit neural adaptation, a phenomenon where their response to sustained input declines over time.
  • Understanding and modeling neural adaptation is crucial for comprehending complex neural dynamics and functions.

Purpose of the Study:

  • To introduce a straightforward method for incorporating adaptive firing thresholds into existing analog neural models.
  • To demonstrate the application of this method in modeling a half-center central pattern generator.

Main Methods:

  • Developed a simple technique to add adaptive firing thresholds to analog neural models.
  • Modeled a half-center central pattern generator using two mutually inhibitory phasic analog neurons.
  • Employed Hopf bifurcation analysis to study the stability of oscillatory solutions.

Related Experiment Videos

Main Results:

  • The proposed method effectively integrates adaptive firing thresholds into analog neural models.
  • Hopf bifurcation analysis confirmed the emergence of stable oscillatory solutions under specific conditions of mutual inhibition.
  • The stability of these neural oscillations was successfully characterized.

Conclusions:

  • The described method provides a simple yet effective way to model neural adaptation in analog neuron models.
  • This approach facilitates the study of rhythmic neural activity, such as that found in central pattern generators.
  • The findings contribute to a better understanding of neural dynamics and adaptive mechanisms in neural circuits.