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

Rapid synchronization through fast threshold modulation

D Somers1, N Kopell

  • 1Department of Cognitive and Neural Systems, Boston University, MA 02215.

Biological Cybernetics
|January 1, 1993
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

Refining the Genomic Region Containing a Major Locus Controlling Fruit Maturity in Peach.

Scientific reports·2019
Same author

The effects of frequent nocturnal home hemodialysis: the Frequent Hemodialysis Network Nocturnal Trial.

Kidney international·2011
Same author

Striatal origin of the pathologic beta oscillations in Parkinson's disease.

Proceedings of the National Academy of Sciences of the United States of America·2011
Same author

Neuronal assembly dynamics in the beta1 frequency range permits short-term memory.

Proceedings of the National Academy of Sciences of the United States of America·2011
Same author

Mapping brain networks in awake mice using combined optical neural control and fMRI.

Journal of neurophysiology·2010
Same author

Behavioral contagion reconsidered: self-harm among adolescent psychiatric inpatients: a five-year study.

The Canadian child and adolescent psychiatry review = La revue canadienne de psychiatrie de l'enfant et de l'adolescent·2008
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

Neural oscillators with multiple timescales synchronize faster than sinusoidal ones. This difference in synchronization mechanisms is crucial for understanding neural network behavior and its implications for brain functions like attention.

Area of Science:

  • Computational neuroscience
  • Systems neuroscience

Background:

  • Neural oscillators are fundamental to brain function.
  • Understanding synchronization is key to neural network dynamics.

Purpose of the Study:

  • Investigate synchronization mechanisms in locally coupled neural oscillators.
  • Compare synchronization in relaxation oscillators versus sinusoidal oscillators.
  • Explore implications for neural network behavior and cognitive functions.

Main Methods:

  • Analytical investigation of synchronization properties.
  • Computer simulations of one-dimensional neural oscillator arrays.
  • Analysis of conductance-based features and neural caricatures (e.g., FitzHugh-Nagumo equations).

Main Results:

Related Experiment Videos

  • Relaxation oscillators synchronize via threshold modulation, independent of coupling strength within a basin of attraction.
  • Conductance-based relaxation oscillators synchronize faster than simpler models.
  • Simulations show relaxation oscillators synchronize significantly faster than sinusoidal ones.

Conclusions:

  • Intrinsic properties of neural components critically influence network synchronization.
  • Synchronization mechanisms differ substantially between relaxation and sinusoidal oscillators.
  • Findings suggest implications for perceptual feature binding and attention mechanisms.