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

Classifying Matter by Composition03:35

Classifying Matter by Composition

90.2K
Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated. 
A mixture is composed of two or...
90.2K
Classifying Matter by State02:49

Classifying Matter by State

103.0K
Chemistry is the study of matter and the changes it undergoes. Matter is anything that has mass and occupies space. Matter is all around us; the air, water, soil, mountains, even our bodies are all examples of matter. Matter is divided into three states — solid, liquid, and gas — that are commonly found on earth. The fourth state of matter, plasma, occurs naturally in the interiors of stars. 
103.0K
The Atomic Theory of Matter02:59

The Atomic Theory of Matter

127.7K
The earliest recorded discussion of the basic structure of matter comes from ancient Greek philosophers. Leucippus and Democritus argued that all matter was composed of small, finite particles that they called atomos, meaning “indivisible.” Later, Aristotle and others came to the conclusion that matter consisted of various combinations of the four “elements” — fire, earth, air, and water — and could be infinitely divided. Interestingly, these philosophers...
127.7K
Categories of Equilibrium01:30

Categories of Equilibrium

5.6K
Equilibrium is a crucial concept in physics, enabling us to understand how forces interact with bodies to produce no or constant motion. In two-dimensional equilibrium, force systems can be classified into different categories based on their characteristics.
One of the categories of equilibrium is collinear equilibrium, which involves forces acting along a straight line. This type of equilibrium requires only one force equation in the direction of the forces, as the other equations are...
5.6K
Acid-Base Titration Curves02:23

Acid-Base Titration Curves

141.0K
A titration curve is a plot of some solution property versus the amount of added titrant. For acid-base titrations, solution pH is a useful property to monitor because it varies predictably with the solution composition and, therefore, may be used to monitor the titration’s progress and detect its endpoint. Acid-base titration can be performed with a strong acid and a strong base, a strong acid and a weak base, or a strong base and a weak acid.
For a titration carried out for 25.00 mL of...
141.0K
Physical and Chemical Properties of Matter02:57

Physical and Chemical Properties of Matter

166.1K
The characteristics that enable us to distinguish one substance from another are called properties.
166.1K

You might also read

Related Articles

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

Sort by
Same author

Foil type modulates developmental changes in statistical learning across childhood to adulthood.

NPJ science of learning·2026
Same author

Constrained shadow tomography for molecular simulation on quantum devices.

Chemical science·2026
Same author

FAK inhibition in ovarian cancer releases omega-3 fatty acids to program CXCL13-producing anti-tumor resident peritoneal macrophages.

Cell reports·2026
Same author

Size-Consistent Quantum Chemistry on Quantum Computers.

The journal of physical chemistry letters·2026
Same author

A summary of the first Australian and Aotearoa New Zealand Clinical Practice Guideline for the management of mild traumatic brain injury/concussion and persisting post-concussion symptoms.

Australian journal of general practice·2026
Same author

Disentangling the functional roles of pre-stimulus oscillations in crossmodal associative memory formation via sensory entrainment.

Scientific reports·2026

Related Experiment Video

Updated: Jan 28, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.2K

Which Matters More in Incidental Category Learning: Edge-Based Versus Surface-Based Features.

Xiaoyan Zhou1,2, Qiufang Fu1,2, Michael Rose3

  • 1State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.

Frontiers in Psychology
|February 23, 2019
PubMed
Summary
This summary is machine-generated.

Edge-based features, like shapes, are more critical than surface features, such as color, for incidental category learning. This finding holds true whether categories are learned by rule or similarity.

Keywords:
category learningedge-based featuresincidental category learningsurface-based featuresthe prototype distortion task

More Related Videos

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.4K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.2K

Related Experiment Videos

Last Updated: Jan 28, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

12.2K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.4K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.2K

Area of Science:

  • Cognitive Psychology
  • Computational Neuroscience
  • Visual Perception

Background:

  • Object recognition research highlights the importance of edge-based over surface-based information.
  • The specific role of edge-based versus surface-based features in category learning remains less understood.

Purpose of the Study:

  • To investigate whether edge-based features are more crucial than surface-based features in incidental category learning.
  • To compare learning performance when categories are defined by rules versus similarities, using either edge or surface features.

Main Methods:

  • A modified prototype distortion task was employed.
  • Participants learned categories defined by rules or similarities based on either edge-based features (contours, shapes) or surface-based features (color, textures).

Main Results:

  • Category learning performance was significantly better with edge-based features than surface-based features, particularly when categories were rule-defined.
  • Increasing the number of defined dimensions enhanced performance for edge-based categories but not for surface-based categories.
  • A larger learning effect was observed for edge-based dimensions compared to surface-based dimensions when categories were defined by similarity.

Conclusions:

  • Edge-based information plays a more significant role than surface-based information in incidental category learning.
  • The findings provide convergent evidence supporting the primacy of contour and shape information in forming object categories.
  • This research advances our understanding of the feature weighting mechanisms underlying visual categorization.