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

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

You might also read

Related Articles

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

Sort by
Same author

Evidence from pupillometry, fMRI, and RNN modelling shows that gain neuromodulation mediates task-relevant perceptual switches.

eLife·2025
Same author

Stepwise updating of probabilities is neither universal nor fully explained by motor costs.

Psychonomic bulletin & review·2024
Same author

Updating local and global probabilities during maze navigation.

Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale·2024
Same author

Plinko: Eliciting beliefs to build better models of statistical learning and mental model updating.

British journal of psychology (London, England : 1953)·2024
Same author

Assessment and recovery of visually guided reaching deficits following cerebellar stroke.

Neuropsychologia·2023
Same author

Left Cerebellar Lesions may be Associated with an Increase in Spatial Neglect-like Symptoms.

Cerebellum (London, England)·2023
Same journal

Role of AQP4 in ameliorating heat stress-induced cellular injury in a cell line model through active heat acclimation.

Frontiers in human neuroscience·2026
Same journal

Correction: Cognitive state monitoring for neuroadaptive information visualization.

Frontiers in human neuroscience·2026
Same journal

The synthetic self-hypothesis: dopaminergic redirection through self-face recognition in stuttering therapy.

Frontiers in human neuroscience·2026
Same journal

A randomised, placebo-controlled, triple-blind clinical trial to investigate the efficacy of <i>Ginkgo biloba</i> extract EGb 761<sup>®</sup> in cognitive impairment associated with post COVID-19 syndrome-the EGb COCOS protocol.

Frontiers in human neuroscience·2026
Same journal

Examining the independent and combined effects of autistic and ADHD traits on multisensory integration.

Frontiers in human neuroscience·2026
Same journal

Prediction of hormone receptor status in breast cancer brain metastases using an MRI-based multimodal deep learning framework.

Frontiers in human neuroscience·2026
See all related articles

Related Experiment Video

Updated: Jun 9, 2026

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
07:09

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

Spatial probability AIDS visual stimulus discrimination.

Michael Druker1, Britt Anderson

  • 1Department of Psychology, University of Waterloo Waterloo, ON, Canada.

Frontiers in Human Neuroscience
|August 27, 2010
PubMed
Summary
This summary is machine-generated.

Statistical predictability of target locations aids visual search. Participants learn and use high-probability areas for faster, more accurate stimulus discrimination, beyond simple spatial repetition priming.

Keywords:
attentionperceptionreaction timevision

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

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

Related Experiment Videos

Last Updated: Jun 9, 2026

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
07:09

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

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

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

Area of Science:

  • Cognitive Psychology
  • Visual Perception
  • Attention Studies

Background:

  • Spatial probability cues attention in visual search.
  • Spatial repetition priming is one explanation for probability cuing.
  • Previous studies often used discrete locations, limiting dissociation of effects.

Purpose of the Study:

  • Investigate if statistical predictability of target location influences classification speed and accuracy.
  • Dissociate the effects of high-probability locations from short-term spatial repetition.
  • Determine if participants learn and utilize spatial probability distributions in real-time.

Main Methods:

  • Two experiments using continuous probability distributions for target locations.
  • Experiment 1: Off-center hotspot with declining probability.
  • Experiment 2: Targets concentrated on a specific concentric circle around fixation.

Main Results:

  • Faster responses for targets near high-probability areas (probability cuing).
  • Faster responses for targets near recent target locations (spatial repetition priming).
  • Participant performance was influenced by the high-probability circle, eccentricity, and distance to recent targets.

Conclusions:

  • Inhomogeneities in spatial probability are learned and used online without prompting.
  • Spatial repetition priming alone does not fully explain probability cuing effects.
  • Future attention models should incorporate target location probabilities.