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 Concept Videos

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

205
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
205
Genetic Drift03:33

Genetic Drift

42.7K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
42.7K
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

235
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
235
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

205
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
205
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

1.2K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.2K
Improving Translational Accuracy02:07

Improving Translational Accuracy

13.9K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
13.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Preference for symmetry, balance, or proximity in picture aesthetics depends on the method of evaluation.

i-Perception·2025
Same author

Individual preferences for certain types of spirals and the possible role of creativity.

Scientific reports·2025
Same author

A toolbox for calculating quantitative image properties in aesthetics research.

Behavior research methods·2025
Same author

Curviness is a better predictor of a woman's body attractiveness than the waist-to-hip ratio.

Scientific reports·2024
Same author

The effect of expertise on the creation and evaluation of visual compositions in terms of creativity and beauty.

Scientific reports·2024
Same author

Golden spiral or Fibonacci spiral: Which is more beautiful and why?

i-Perception·2024
Same journal

Planned missingness in intensive longitudinal studies: Extensions and comparisons of multiform designs.

Behavior research methods·2026
Same journal

A validity-guided workflow for robust large language model research in psychology.

Behavior research methods·2026
Same journal

Are 7-point Likert scales preferable to 5-point scales in language research?

Behavior research methods·2026
Same journal

Generative psychometrics via AI-GENIE: Automatic item generation and validation with network-integrated evaluation.

Behavior research methods·2026
Same journal

Exploring psychological tradeoffs: Developing and demonstrating an R Shiny app for Pareto optimization.

Behavior research methods·2026
Same journal

The performance of Bayesian fit measures in detecting misspecified multilevel structural equation modeling.

Behavior research methods·2026
See all related articles

Related Experiment Video

Updated: Dec 28, 2025

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

16.9K

Improving parameter recovery for conflict drift-diffusion models.

Ronald Hübner1, Thomas Pelzer2

  • 1Department of Psychology, Universität Konstanz, D-78457, Konstanz, Germany. ronald.huebner@uni-konstanz.de.

Behavior Research Methods
|February 12, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces an improved fitting procedure for drift-diffusion models used in conflict tasks. The new method enhances both model fit and parameter recovery, crucial for accurate interpretation of cognitive processes.

Keywords:
Drift-diffusion modelsGrid-search methodModel-fit procedureParameter recovery

More Related Videos

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
10:33

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

8.9K
Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

8.7K

Related Experiment Videos

Last Updated: Dec 28, 2025

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

16.9K
Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
10:33

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

8.9K
Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
10:20

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

8.7K

Area of Science:

  • Cognitive psychology
  • Computational neuroscience
  • Decision-making models

Background:

  • Drift-diffusion models (DDMs) are used to explain performance in conflict tasks.
  • Existing DDMs feature varying architectures despite a common drift rate characteristic.
  • Current comparative studies focus on model fit, neglecting parameter recovery, essential for valid interpretation.

Purpose of the Study:

  • To introduce and evaluate an enhanced fitting procedure for drift-diffusion models.
  • To improve both model fit and parameter recovery in cognitive task analysis.
  • To address limitations in existing methods for assessing DDM performance.

Main Methods:

  • Developed a novel fitting procedure utilizing a grid search for initial parameter values.
  • Implemented a specific criterion for evaluating the goodness of fit.
  • Conducted simulation studies to compare the new procedure against standard methods.

Main Results:

  • The improved procedure significantly enhanced model fit compared to standard methods.
  • Parameter recovery performance saw substantial improvements with the new procedure.
  • The most complex drift-diffusion models exhibited the largest gains in fit and recovery.

Conclusions:

  • The proposed fitting procedure offers a superior approach for analyzing drift-diffusion models.
  • Enhanced parameter recovery validates the use of complex models in cognitive research.
  • This method provides a more reliable framework for interpreting cognitive processes in conflict tasks.