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

Cognitive Learning01:21

Cognitive Learning

1.6K
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
1.6K
Purposive Learning01:22

Purposive Learning

589
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
589
Dimensional Analysis01:23

Dimensional Analysis

2.4K
Dimensional analysis is a powerful tool that is used in physics and engineering to understand and predict the behavior of physical systems. The basic idea behind dimensional analysis is to express physical quantities in terms of fundamental dimensions such as the mass, length, and time. Derived dimensions like the velocity, acceleration, and force are derived from the combinations of these fundamental dimensions.
Dimensional analysis allows us to analyze and compare physical quantities on a...
2.4K
Dimensional Analysis02:19

Dimensional Analysis

26.6K
The concept of dimension is important because every mathematical equation linking physical quantities must be dimensionally consistent, implying that mathematical equations must meet the following two rules. The first rule is that, in an equation, the expressions on each side of the equal sign must have the same dimensions. This is fairly intuitive since we can only add or subtract quantities of the same type (dimension). The second rule states that, in an equation, the arguments of any of the...
26.6K
Dimensional Analysis03:40

Dimensional Analysis

68.4K
Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
Conversion Factors and Dimensional Analysis
The unit...
68.4K
Dimensional Analysis01:27

Dimensional Analysis

776
Dimensional analysis is a valuable technique in fluid mechanics for simplifying complex problems by reducing them into dimensionless groups. These groups capture the essential relationships between the variables involved, allowing researchers and engineers to analyze fluid flow without dealing with each variable individually. This approach reduces the number of independent variables, allowing for easier analysis and better understanding of physical phenomena.
In fluid mechanics, dimensional...
776

You might also read

Related Articles

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

Sort by
Same author

The Development of the Paraphilic Disorders Short Screen (PDSS) and Its Examination in Diverse Populations: A Large, Multi-Nation Study.

Sexual abuse : a journal of research and treatment·2026
Same author

Simulating object recognition with the Standard Operating Procedures (SOP) model.

Psychonomic bulletin & review·2026
Same author

What Do Patient-Control Studies of Habituation in Anxiety and Stress Disorders Reveal?

Psychophysiology·2026
Same author

Interstimulus interval effects on habituation: A systematic review with theoretical implications.

Psychological bulletin·2026
Same author

Invariant versus context-specific representation of face shape and motion in the face network.

Cortex; a journal devoted to the study of the nervous system and behavior·2026
Same author

Shape information used for face identity and expression recognition is highly versatile and context specific.

Scientific reports·2026
Same journal

Corrigendum to "Productivity matters for the neural processing of novel words, but not existing ones" Cognition Volume 274 (2026) 106593.

Cognition·2026
Same journal

Investigating the origins of partisanship: What motivates children to preferentially endorse their ingroups' claims?

Cognition·2026
Same journal

People make graded judgments about the inconceivable.

Cognition·2026
Same journal

The self as an image: Appearance and belief in visual representations of one's own face.

Cognition·2026
Same journal

Corrigendum to 'Consonant, vowel, and tone cues in early wordform recognition: Evidence from Cantonese-learning infants' [Cognition 275 (2026) 106624].

Cognition·2026
Same journal

Identifying distinct sources of whole number interference in children's decimal comparison: the role of numerical magnitude and inhibitory control.

Cognition·2026
See all related articles

Related Experiment Video

Updated: Apr 7, 2026

An Operant Intra-/Extra-dimensional Set-shift Task for Mice
08:35

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Published on: January 22, 2016

12.9K

Why are some dimensions integral? Testing two hypotheses through causal learning experiments.

Fabián A Soto1, Gonzalo R Quintana2, Andrés M Pérez-Acosta3

  • 1Department of Psychology, Florida International University, United States.

Cognition
|July 13, 2015
PubMed
Summary
This summary is machine-generated.

This study unifies compound and dimensional generalization research. Findings support a new theory, showing integral dimensions lead to non-linear processing, unlike separable dimensions.

Keywords:
Causal learningConfigural and elemental processingGeneralizationRational theorySeparable and integral dimensions

More Related Videos

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.1K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

8.2K

Related Experiment Videos

Last Updated: Apr 7, 2026

An Operant Intra-/Extra-dimensional Set-shift Task for Mice
08:35

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Published on: January 22, 2016

12.9K
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.1K
Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

8.2K

Area of Science:

  • Cognitive Psychology
  • Perception & Cognition

Background:

  • Compound generalization and dimensional generalization are studied separately with distinct theories.
  • A unified rational theory of stimulus generalization integrates both by extending Shepard's theory.
  • This unified theory uses the 'direction hypothesis' for dimensional integrality, differing from Shepard's 'correlation hypothesis'.

Purpose of the Study:

  • To test the differential predictions of the direction hypothesis versus the correlation hypothesis regarding dimensional integrality.
  • To investigate the relationship between compound generalization and dimensional generalization phenomena.
  • To provide empirical support for the unified rational theory of stimulus generalization.

Main Methods:

  • Two experiments adapted compound generalization designs for dimensional generalization by using dimensional values instead of discrete stimulus components.
  • Experiment 1 examined summation-like effects in dimensional generalization with separable versus integral dimensions.
  • Experiment 2 assessed the speed of solving biconditional discriminations with integral versus separable dimensions.

Main Results:

  • Experiment 1 revealed summation-like effects with separable dimensions and the opposite effect with integral dimensions.
  • Experiment 2 showed faster solution of biconditional discriminations with integral dimensions compared to separable dimensions.
  • Results indicated non-linear processing with integral dimensions, consistent with the direction hypothesis.

Conclusions:

  • The direction hypothesis accurately predicts findings in dimensional generalization, supporting the unified rational theory.
  • The study establishes links between compound and dimensional generalization, demonstrating non-linear processing for integral dimensions.
  • Empirical evidence supports a single framework for understanding both types of stimulus generalization.