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

Quantal analysis based on density estimation.

Christian Stricker1, Stephen J Redman

  • 1ANU Medical School, Australian National University, GPO Box 334, Canberra, ACT 0200, Australia. christian.stricker@anu.edu.au

Journal of Neuroscience Methods
|December 12, 2003
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

Modulation by serotonin reveals preferred recurrent excitatory connectivity in layer II of rat neocortex.

Cerebral cortex (New York, N.Y. : 1991)·2025
Same author

On the inverse association between the number of QTL and the trait-specific genomic relationship of a candidate to the training set.

Genetics, selection, evolution : GSE·2024
Same author

Genomic prediction in hybrid breeding: I. Optimizing the training set design.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2023
Same author

Spontaneous and action potential-evoked Ca<sup>2+</sup> release from endoplasmic reticulum in neocortical synaptic boutons.

Cell calcium·2021
Same author

Serotonergic Modulation of Spontaneous and Evoked Transmitter Release in Layer II Pyramidal Cells of Rat Somatosensory Cortex.

Cerebral cortex (New York, N.Y. : 1991)·2020
Same author

Low-cost photo-responsive nanocarriers by one-step functionalization of flame-made titania agglomerates with l-Lysine.

Journal of materials chemistry. B·2020

This study introduces a decision tree to analyze synaptic transmission by comparing data against increasingly complex quantal models. The Wilks statistic rigorously assesses model fit, aiding in parameter extraction when direct measurements are impossible.

Area of Science:

  • Neuroscience
  • Computational Biology
  • Biophysics

Background:

  • Direct measurement of synaptic quantal parameters is often unfeasible.
  • Analysis of evoked response fluctuations offers an alternative for parameter extraction.
  • Existing methods may lack rigor in model comparison for quantal transmission.

Purpose of the Study:

  • To describe a novel decision tree for analyzing synaptic quantal transmission.
  • To rigorously compare data against a hierarchy of quantal transmission models.
  • To evaluate the efficacy of the Wilks statistic in model selection.

Main Methods:

  • Optimal transformation of peak amplitude measurements into probability density functions (PDFs).
  • Sequential comparison of PDFs against models of increasing complexity, from non-quantal to quantal with variable release probabilities.

Related Experiment Videos

  • Utilizing the Wilks statistic for rigorous model fitting and comparison.

    • Main Results:

    • The decision tree systematically evaluates data against defined models of synaptic transmission.
    • The Wilks statistic demonstrates sensitivity in rejecting inadequate models at various stages.
    • Comparison highlights the relative strengths of the Wilks statistic versus chi-squared criteria.

    Conclusions:

    • The described decision tree provides a robust framework for inferring synaptic quantal parameters.
    • The Wilks statistic is a powerful tool for model selection in quantal analysis.
    • This approach enhances the ability to study synaptic function when direct measurements are limited.