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

Quantifying Work02:30

Quantifying Work

24.2K
As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
24.2K
Classification of Neurotransmitters01:30

Classification of Neurotransmitters

5.2K
Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
5.2K
Classification of Leukocytes01:30

Classification of Leukocytes

5.3K
Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
5.3K
Classification of Bones01:18

Classification of Bones

9.7K
The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
9.7K
Force Classification01:22

Force Classification

2.3K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.3K
Classification of Illness01:17

Classification of Illness

8.6K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.6K

You might also read

Related Articles

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

Sort by
Same author

Disentangling direct and indirect genetic pathways to neurodevelopmental risk: brain structure and behavior in a population-based parent-offspring trio study.

Journal of child psychology and psychiatry, and allied disciplines·2026
Same author

White matter microstructure in relatives of people with schizophrenia or bipolar disorder: an ENIGMA meta-analysis.

Molecular psychiatry·2026
Same author

Unraveling reward processing in schizophrenia and bipolar disorder: a multilevel examination of the positive valence system.

Psychological medicine·2026
Same author

Reward-Related Brain Function as an Endophenotype in the Mood-Psychosis Spectrum.

Biological psychiatry global open science·2026
Same author

Screenathon 2.0: human-AI collaborative screening applied to patient-generated health data.

Scientific reports·2026
Same author

Prenatal Parental Psychosocial Determinants of Neonatal Brain Structure: A Latent Variable Approach in the FinnBrain Birth Cohort.

Biological psychiatry. Cognitive neuroscience and neuroimaging·2026

Related Experiment Video

Updated: Jan 26, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.7K

Quantifying the informational value of classification images.

Loek Brinkman1, Stanny Goffin2, Rens van de Schoot3,4

  • 1Department of Psychology, Utrecht University, Utrecht, The Netherlands. l.brinkman@uu.nl.

Behavior Research Methods
|April 3, 2019
PubMed
Summary
This summary is machine-generated.

A new metric, infoVal, quantifies signal in classification images (CIs) from reverse correlation studies. This metric ensures reliable interpretation of mental representations and improves data quality assessment in psychophysics.

Keywords:
Data qualityOnline experimentsReliabilityReverse correlationSocial psychology

More Related Videos

Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

6.7K
Imaging and Quantifying Mitochondrial Morphology in C. elegans During Aging
05:29

Imaging and Quantifying Mitochondrial Morphology in C. elegans During Aging

Published on: January 17, 2025

1.8K

Related Experiment Videos

Last Updated: Jan 26, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.7K
Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

6.7K
Imaging and Quantifying Mitochondrial Morphology in C. elegans During Aging
05:29

Imaging and Quantifying Mitochondrial Morphology in C. elegans During Aging

Published on: January 17, 2025

1.8K

Area of Science:

  • Psychophysics
  • Cognitive Neuroscience
  • Computational Psychology

Background:

  • Reverse correlation is a key psychophysical method for visualizing mental representations via classification images (CIs).
  • Quantifying the statistical signal within CIs is challenging, limiting their interpretability.
  • Existing methods lack robust statistical validation for assessing CI informational value.

Purpose of the Study:

  • Introduce and validate a novel metric, infoVal, for quantifying the informational value of classification images.
  • Establish infoVal as a reliable measure of signal presence in CIs.
  • Provide a standardized method for assessing the quality and interpretability of reverse correlation data.

Main Methods:

  • Developed the infoVal metric, comparing CIs against a resampled random distribution, interpretable as a z-score.
  • Validated infoVal's internal validity through simulations, confirming adherence to Type I error rates.
  • Assessed infoVal's convergent validity by correlating it with subjective recognizability, objective discriminability, and test-retest reliability of CIs.

Main Results:

  • Simulations confirmed infoVal's adherence to statistical error rates across diverse task conditions.
  • Empirical data showed infoVal correlates significantly with established markers of classification image data quality.
  • infoVal successfully differentiated informational value between online and lab-acquired reverse correlation datasets.

Conclusions:

  • The infoVal metric offers a statistically sound approach to quantifying signal in classification images.
  • infoVal enhances the reliability and interpretability of mental representations derived from reverse correlation.
  • Recommends adopting infoVal assessment as a standard practice to prevent misinterpretation of classification image data.