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

Two enhancements of the gravity algorithm for multiple spike train analysis.

Bruce G Lindsey1, George L Gerstein

  • 1Department of Physiology and Biophysics and Neuroscience Program, University of South Florida Health Sciences Center, 12901 Bruce B. Downs Blvd., Tampa, FL 33612-4799, USA. blindsey@hsc.usf.edu

Journal of Neuroscience Methods
|August 18, 2005
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

Hypoxia evokes a sequence of raphe-pontomedullary network operations for inspiratory drive amplification and gasping.

Journal of neurophysiology·2024
Same author

Hypoxia evokes a sequence of raphe-pontomedullary network operations for inspiratory drive amplification and gasping.

bioRxiv : the preprint server for biology·2023
Same author

Blood pressure drives multispectral tuning of inspiration via a linked-loop neural network.

Journal of neurophysiology·2020
Same author

Pulmonary Vein Ganglia Are Remodeled in the Diabetic Heart.

Journal of the American Heart Association·2018
Same author

Central Respiration and Mechanical Ventilation in the Gating of Swallow With Breathing.

Frontiers in physiology·2018
Same author

Carotid Bodies and the Integrated Cardiorespiratory Response to Hypoxia.

Physiology (Bethesda, Md.)·2018
Same journal

Time as the language of Behavior: events, sequences, patterns and meanings.

Journal of neuroscience methods·2026
Same journal

Detection of cochlear microphonic for differential diagnosis between auditory neuropathy mice and noise-induced sensorineural hearing loss mice.

Journal of neuroscience methods·2026
Same journal

Assessment metrics for pain control in rats: A methodological commentary.

Journal of neuroscience methods·2026
Same journal

Infant EEG preprocessing pipelines: A capability framework and current gaps in practice.

Journal of neuroscience methods·2026
Same journal

Methods for measuring neural activity during voluntary wheel running.

Journal of neuroscience methods·2026
Same journal

Serotype-dependent differences in AAV cellular transduction rates in the hypothalamus of Arctic ground squirrels.

Journal of neuroscience methods·2026
See all related articles

This study enhances the gravity method for neuronal assembly analysis by modifying charge assignment and introducing a 3D display. These improvements better detect neuronal timing relationships and complex assembly properties.

Area of Science:

  • Computational Neuroscience
  • Systems Neuroscience
  • Data Analysis

Background:

  • The gravity method models neuronal activity using charged particles, but standard filters limit detection of diverse temporal correlations.
  • Short time constants favor synchronized neurons, while long ones reduce selectivity, hindering analysis of delayed correlations.

Purpose of the Study:

  • To enhance the gravity method for neuronal assembly analysis.
  • To improve the detection of both short and long lag neuronal correlations.
  • To develop a novel visualization for parsing neuronal relationships.

Main Methods:

  • Modified charge increment timing rules based on cross-correlogram features to incorporate lagged correlations.
  • Introduced a 3D display of particle pair trajectories (inter-particle distance and movement) to visualize neuronal interactions.

Related Experiment Videos

  • Applied enhancements to simulated networks and in vivo multi-site recordings.

    • Main Results:

    • The enhanced method successfully detects neuronal assembly properties missed by standard gravity methods.
    • Charge increment offsets, guided by cross-correlograms, improve aggregation of long-lag correlated neuronal pairs.
    • Clustering of 3D trajectories effectively categorizes different types of neuronal relationships.

    Conclusions:

    • The modified gravity method offers improved sensitivity and selectivity for analyzing neuronal assemblies.
    • The new visualization aids in understanding the functional relationships between neurons.
    • These advancements provide a more comprehensive tool for neuroscience research.