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

Interference and Decay01:16

Interference and Decay

Forgetting is a complex cognitive phenomenon influenced by several factors, among which interference and decay are particularly prominent. These processes explain why individuals often struggle to retrieve specific information from memory, leading to lapses in recall that can be observed in everyday situations.
Interference occurs when competing memories hinder the retrieval of particular information. It can be classified into two types: proactive and retroactive interference. Proactive...
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...
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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.
Cognitive Learning01:21

Cognitive Learning

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...

You might also read

Related Articles

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

Sort by
Same author

Gene Deletion of Microsomal Prostaglandin E Synthase-1 Suppresses Chemical Carcinogen-induced Bladder Cancer.

Anticancer research·2026
Same author

Continuation of anti-tuberculosis therapy after Clostridioides difficile infection: a retrospective cohort study.

Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy·2026
Same author

Unsupervised visual learning is revealed for task-irrelevant natural scenes due to reduced attentional suppression effects in visual areas.

Nature communications·2026
Same author

A Giant Solitary Fibrous Tumour Arising From the Right Hemidiaphragm Detected Incidentally During a Routine Health Checkup.

Respirology case reports·2026
Same author

Direct and mediating effects of multilingualism on reducing perceived loneliness in the aging brain.

Brain and language·2026
Same author

Delivery-related charges of elective induction compared with on-demand epidural labor analgesia: a retrospective cohort study.

Journal of anesthesia·2026
Same journal

Computational and mathematical models in vision: Quantitative approaches to understanding visual perception.

Vision research·2026
Same journal

Complex interactions between lightness, chroma, and hue in color ensemble perception.

Vision research·2026
Same journal

Driving with autism spectrum disorder: Exploring the impact of tactile hazard warnings on gaze behavior and hazard responses.

Vision research·2026
Same journal

Early visual processing in adults with ADHD: evidence from contrast sensitivity, spatial integration, and external noise.

Vision research·2026
Same journal

Pupil reflexes generate the peripheral drift illusion due to ON/OFF motion responses.

Vision research·2026
Same journal

Perceived direction of glass patterns can flip by 90°: A neural model.

Vision research·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2026

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss
07:12

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Published on: April 11, 2025

Interference and feature specificity in visual perceptual learning.

Yuko Yotsumoto1, Li-Hung Chang, Takeo Watanabe

  • 1Department of Psychology, Boston University, United States.

Vision Research
|August 12, 2009
PubMed
Summary
This summary is machine-generated.

Perceptual learning (PL) can be disrupted by specific training changes. This study found that interference with background elements in texture discrimination tasks is feature-specific, unlike roving disruptions.

More Related Videos

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
05:38

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
10:38

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

Related Experiment Videos

Last Updated: Jun 21, 2026

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss
07:12

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Published on: April 11, 2025

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
05:38

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions
10:38

A Cognitive Paradigm to Investigate Interference in Working Memory by Distractions and Interruptions

Published on: July 16, 2015

Area of Science:

  • Cognitive psychology
  • Neuroscience
  • Visual perception

Background:

  • Perceptual learning (PL) often exhibits specificity to trained features.
  • The texture discrimination task (TDT) demonstrates learning specificity to background but not target elements.
  • Understanding feature specificity is crucial for explaining PL mechanisms.

Purpose of the Study:

  • To investigate the relationship between feature specificity and disruption in perceptual learning.
  • To determine if interference and roving disruptions in TDT are feature-specific.
  • To elucidate the mechanisms underlying learning specificity in TDT.

Main Methods:

  • Utilized the texture discrimination task (TDT) to assess perceptual learning.
  • Manipulated training conditions to induce interference (successive background orientation changes) and roving (random trial-to-trial changes).
  • Analyzed learning effects based on changes to background and target elements.

Main Results:

  • Learning in TDT was disrupted by interference when background element orientations changed successively.
  • Roving disruptions did not impair learning related to background elements.
  • Target element presentation showed a reversed effect, with learning occurring in two-part training but not with roving.
  • Interference effects in TDT were feature-specific, while roving disruptions were not.

Conclusions:

  • Interference in TDT is feature-specific, impacting learning based on background element orientation.
  • Disruption caused by roving in TDT is not feature-specific.
  • These findings contribute to understanding the feature-specificity of perceptual learning and its disruption mechanisms.