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

Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
Association Areas of the Cortex01:21

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
Introduction to Special Senses01:26

Introduction to Special Senses

Sensory receptors play an integral part in comprehending our external and internal environments. They receive diverse stimuli, converting them into the nervous system's electrochemical signals. This conversion occurs as the stimulus alters the sensory neuron's cell membrane potential, instigating the generation of an action potential. This action potential is subsequently transmitted to the central nervous system (CNS), which integrates with other sensory data or higher cognitive functions.
Introduction to Sensory Receptors01:31

Introduction to Sensory Receptors

Sensory receptors are vital in our ability to perceive and interpret the world. Sensory receptors are specialized cells in the peripheral nervous system that respond to various stimuli and enable one to experience different sensations. Based on specific criteria, sensory receptors are classified into distinct types.
The first classification criterion is based on cell type, position, and function. Some receptor cells are neurons with free nerve endings, where their dendrites are embedded in the...
What is a Sensory System?01:31

What is a Sensory System?

Sensory systems detect stimuli—such as light and sound waves—and transduce them into neural signals that can be interpreted by the nervous system. In addition to external stimuli detected by the senses, some sensory systems detect internal stimuli—such as the proprioceptors in muscles and tendons that send feedback about limb position.
Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

You might also read

Related Articles

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

Sort by
Same author

Hybridization capture sequencing for <i>Vibrio</i> spp. and associated virulence factors.

mBio·2025
Same author

Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2024
Same author

The wisdom of the crowd with partial rankings: A Bayesian approach implementing the Thurstone model in JAGS.

Behavior research methods·2024
Same author

Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's Disease.

bioRxiv : the preprint server for biology·2024
Same author

Bayesian Modeling of the Mnemonic Similarity Task Using Multinomial Processing Trees.

Behaviormetrika·2024
Same author

Assessing hypo-arousal during reward anticipation with pupillometry in patients with major depressive disorder: replication and correlations with anhedonia.

Scientific reports·2024

Related Experiment Video

Updated: Jun 20, 2026

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Finding the features that represent stimuli.

Matthew D Zeigenfuse1, Michael D Lee

  • 1Department of Cognitive Sciences, University of California, Irvine, 92697-5100, USA. mzeigenf@uci.edu

Acta Psychologica
|September 15, 2009
PubMed
Summary
This summary is machine-generated.

A new model identifies key features explaining stimulus similarity. A small set of important features adequately represents complex category structures, offering intuitive insights.

More Related Videos

Generating Strictly Controlled Stimuli for Figure Recognition Experiments
05:39

Generating Strictly Controlled Stimuli for Figure Recognition Experiments

Published on: March 18, 2019

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

Related Experiment Videos

Last Updated: Jun 20, 2026

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Generating Strictly Controlled Stimuli for Figure Recognition Experiments
05:39

Generating Strictly Controlled Stimuli for Figure Recognition Experiments

Published on: March 18, 2019

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

Area of Science:

  • Cognitive Science
  • Computational Linguistics
  • Psychology

Background:

  • Understanding how humans represent and categorize stimuli is crucial in cognitive science.
  • Existing models often struggle to integrate feature generation with similarity judgments effectively.

Purpose of the Study:

  • To develop and validate a computational model for identifying salient features that explain perceived similarities between stimuli.
  • To investigate the distribution of feature importance and its relationship to category structures.

Main Methods:

  • Developed a novel model integrating feature generation and similarity judgment data.
  • Applied the model to the Leuven Concept Database across four distinct datasets.
  • Inferred feature importance by analyzing their explanatory power for similarity patterns.

Main Results:

  • Demonstrated that a small subset of features is sufficient to explain similarity patterns.
  • Showed that inferred important features are intuitively interpretable and relevant.
  • Found that important features often target specific subsets of stimuli, reflecting category organization.

Conclusions:

  • The developed model provides a robust method for feature discovery in conceptual representation.
  • Feature importance is not uniformly distributed, with a few features carrying significant explanatory weight.
  • The model's findings align with intuitive notions of categorization and highlight the structure of conceptual spaces.