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

Synchronization and oscillatory dynamics in heterogeneous, mutually inhibited neurons

J A White1, C C Chow, J Ritt

  • 1Department of Biomedical Engineering, Boston University, MA 02215, USA.

Journal of Computational Neuroscience
|May 15, 1998
PubMed
Summary

Mild heterogeneity in inhibitory neural networks causes fragile synchrony. Network behavior depends on synaptic decay time versus action potential period, impacting neuronal communication.

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

Success versus failure: Efficient heat devices in thermodynamics.

Physical review. E·2022
Same author

A data-driven model for COVID-19 pandemic - Evolution of the attack rate and prognosis for Brazil.

Chaos, solitons, and fractals·2021
Same author

Experiences of workplace bullying among academics in a health sciences faculty at a South African university.

South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde·2021
Same author

Association of technologically assisted integrated care with clinical outcomes in type 2 diabetes in Hong Kong using the prospective JADE Program: A retrospective cohort analysis.

PLoS medicine·2020
Same author

Familial dysalbuminaemic hyperthyroxinaemia with discordant thyroid function test results: two case reports.

Hong Kong medical journal = Xianggang yi xue za zhi·2020
Same author

2019 European guideline on the management of lymphogranuloma venereum.

Journal of the European Academy of Dermatology and Venereology : JEADV·2019

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neural networks exhibit synchronous oscillations crucial for information processing.
  • Heterogeneity in neuronal properties can significantly alter network dynamics and synchrony.

Purpose of the Study:

  • Investigate mechanisms of synchronous oscillations and loss of synchrony in heterogeneous inhibitory neural networks.
  • Determine factors influencing network synchrony level and response frequency.
  • Analyze the impact of mild neuronal heterogeneity on network dynamics.

Main Methods:

  • Numerical simulations of networks of heterogeneous inhibitory neurons.
  • Analysis of network response frequencies (10-200 Hz).
  • Exploration of the ratio of synaptic decay time to action potential period (tau s/T).

Related Experiment Videos

Main Results:

  • Mild heterogeneity leads to imperfect and fragile synchrony.
  • Two distinct modes of synchrony loss observed based on tau s/T ratio.
  • With tau s/T > 2, neurons spike independently due to tonic inhibition.
  • With tau s/T < 1, faster neurons suppress slower ones, maintaining partial synchrony.

Conclusions:

  • Mildly heterogeneous networks exhibit complex dynamics not seen in homogeneous networks.
  • Network behavior can be predicted by analyzing single, self-inhibiting neurons.
  • Synaptic properties and neuronal excitability interact to shape network synchrony.