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

Localized activity patterns in excitatory neuronal networks.

Jonathan Rubin1, Amitabha Bose

  • 1Department of Mathematics and Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA 15260, USA. rubin@math.pitt.edu

Network (Bristol, England)
|June 25, 2004
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

Viloxazine occupies the 5-HT2C receptor in the macaca fascicularis brain in vivo: A [11C]CIMBI-36 positron emission tomography study.

The international journal of neuropsychopharmacology·2026
Same author

Dynamic network reconfigurations during task engagement following resting state in adolescent onset schizophrenia.

bioRxiv : the preprint server for biology·2026
Same author

Viloxazine Extended Release in Adults With Attention-Deficit/Hyperactivity Disorder and Depression and/or Anxiety Symptoms: Results From a Decentralized, Open-Label, Phase 4 Trial.

The Journal of clinical psychiatry·2026
Same author

Updated Viloxazine Pharmacology: Experiments Establish Norepinephrine Transporter Occupancy and Serotonin 5-HT<sub>2C</sub>, 5-HT<sub>2B</sub>, and 5-HT<sub>7</sub> Receptor Binding at Therapeutically Relevant Concentrations.

Drugs in R&D·2026
Same author

Correction: An Open‑Label Extension Study Assessing the Long‑Term Safety and Efficacy of Viloxazine Extended‑Release Capsules in Adults with Attention‑Deficit/Hyperactivity Disorder.

CNS drugs·2026
Same author

Maximum entropy model reveals frequent brain state switching in a multiversal brain function analysis in early psychoses.

bioRxiv : the preprint server for biology·2026
Same journal

Enhancing IoT security: A Creative Swagger Optimization algorithm for DDoS defence.

Network (Bristol, England)·2026
Same journal

Parametric optimization for electrical discharge diamond grinding (EDDG) system using dual approach.

Network (Bristol, England)·2025
Same journal

A novel lung cancer diagnosis model using hybrid convolution (2D/3D)-based adaptive DenseUnet with attention mechanism.

Network (Bristol, England)·2025
Same journal

Hybrid optimization enabled Eff-FDMNet for Parkinson's disease detection and classification in federated learning.

Network (Bristol, England)·2025
Same journal

AI-driven plant disease detection with tailored convolutional neural network.

Network (Bristol, England)·2025
Same journal

Layer modified residual Unet++ for speech enhancement using Aquila Black widow optimizer algorithm.

Network (Bristol, England)·2025
See all related articles

Localized activity patterns, or bumps, can form in purely excitatory neuronal networks. This occurs through transient synchrony promoting cell recruitment, followed by desynchrony sustaining network oscillations.

Area of Science:

  • Computational neuroscience
  • Neuronal network dynamics
  • Systems neuroscience

Background:

  • Localized activity patterns (bumps) are typically studied in neuronal networks with both excitatory and inhibitory connections.
  • Understanding the mechanisms of bump formation is crucial for comprehending information processing in the brain.

Purpose of the Study:

  • To investigate the possibility of localized activity patterns in neuronal networks with purely excitatory synaptic coupling.
  • To elucidate the mechanisms underlying bump formation in such networks.

Main Methods:

  • Analysis of spatially distributed neuronal network models with purely excitatory coupling.
  • Examination of the geometric structure of the phase space of model equations.
  • Investigation of the role of initial conditions, parameters, and short-term synaptic depression.

Related Experiment Videos

Main Results:

  • Demonstrated that purely excitatory neuronal networks can exhibit localized activity (bumps).
  • Identified a mechanism where transient synchrony promotes cell recruitment into the bump, followed by desynchrony that sustains oscillations and curtails further recruitment.
  • Showed high sensitivity of bump formation and size to initial conditions and parameter changes.
  • Examined the influence of short-term synaptic depression on bump characteristics.

Conclusions:

  • Bump formation is achievable in purely excitatory neuronal networks through a specific sequence of synchronized and desynchronized activity.
  • The dynamics of bump formation are highly sensitive to network parameters and initial states.
  • Short-term synaptic depression plays a role in shaping bump characteristics.