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

Mixture estimation and the neurophysiological quantal hypothesis

B R Smith1

  • 1Department of Mathematics, Statistics and Computing Science, Dalhousie University, Halifax, Nova Scotia, Canada.

Biometrics
|June 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

Inhibition of HERV-K (HML-2) in amyotrophic lateral sclerosis patients on antiretroviral therapy.

Journal of the neurological sciences·2021
Same author

Detection of first gammaherpesvirus sequences in Central African bats.

New microbes and new infections·2020
Same author

Viral emergence in marine mammals in the North Pacific may be linked to Arctic sea ice reduction.

Scientific reports·2019
Same author

A Health Services Research Agenda for Bariatric Surgery Within the Veterans Health Administration.

Journal of general internal medicine·2017
Same author

Genetic dissection of intraspecific variation in a male-specific sexual trait in Drosophila melanogaster.

Heredity·2016
Same author

Catalase and the production of brain acetaldehyde: a possible mediator of the psychopharmacological effects of ethanol.

Addiction biology·2016
Same journal

Fast penalized generalized estimating equations for large longitudinal functional datasets.

Biometrics·2026
Same journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same journal

Statistical inference for mean function of partially observed functional time series.

Biometrics·2026
Same journal

Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

Biometrics·2026
Same journal

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling.

Biometrics·2026
Same journal

Discussion on "INTACT: a method for integration of longitudinal physical activity data from multiple sources" by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou.

Biometrics·2026
See all related articles

Quantal release models describe neurotransmitter release from nerve cells. This study develops methods to determine the number of components in finite mixture models, applied to quantal release data.

Area of Science:

  • Neuroscience
  • Biophysics
  • Statistical Modeling

Background:

  • Quantal release models offer mechanistic insights into neurotransmitter release from nerve cells.
  • Standard models often assume a finite mixture distribution for released neurotransmitter quantity, with unknown component numbers and constraints on means/variances.

Purpose of the Study:

  • To discuss general procedures for estimating the number of components in finite mixture models.
  • To apply these estimation procedures to analyze experimental data on quantal release.

Main Methods:

  • Development of statistical procedures for finite mixture model dimension estimation.
  • Application of these methods to a specific dataset concerning quantal neurotransmitter release.

Main Results:

Related Experiment Videos

  • The study presents and validates methods for determining the underlying structure of mixture distributions.
  • Successful application of the developed procedures to real-world quantal release data.

Conclusions:

  • The proposed methods provide a robust framework for analyzing complex quantal release patterns.
  • Accurate estimation of mixture model components enhances the mechanistic understanding of neurotransmitter release dynamics.