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

Dissociating the behavioral and computational features of implicit motor learning and explicit perturbation detection.

bioRxiv : the preprint server for biology·2026
Same author

Dissociating variability from error-based processes in observational learning.

Human movement science·2026
Same author

Pretemporal and Posterior Petrosal Approaches to the Retroinfundibular Region: A Quantitative and Comparative Cadaveric Study.

Operative neurosurgery (Hagerstown, Md.)·2026
Same author

Effects of local heat on metabolic health, frailty risk, and exercise adaptations in pre-diabetic older adults: Protocol for the Heat and Exercise in Aging as Therapy (HEAT) clinical trial.

PloS one·2026
Same author

Validating the ADFSCI hypotension symptom domain as a scalable patient reported outcome measure in spinal cord injury.

NPJ digital medicine·2026
Same author

Contributions from Impulse and Limb-Target Regulation to Schmidt's Linear Speed-Accuracy Tradeoff.

Journal of motor behavior·2026
Same journal

Cycling travel vlog characteristics and low-carbon tourism intention: The roles of destination image and environmental self-efficacy.

Acta psychologica·2026
Same journal

Predicting occupational burnout among kindergarten teachers: The mediating role of teacher self-efficacy.

Acta psychologica·2026
Same journal

Immediate and delayed effects of multi-element and points-only gamified mobile apps on EFL learners' engagement in English vocabulary learning.

Acta psychologica·2026
Same journal

Impacts of pride, envy and guilt on leadership potential: The indirect role of PsyCap.

Acta psychologica·2026
Same journal

AI-Augmented marketing decision-making and competitive performance: A resource-based view of capability orchestration.

Acta psychologica·2026
Same journal

A longitudinal study on the intergenerational transmission mechanism of music preference on adolescents' emotion regulation.

Acta psychologica·2026
See all related articles

Related Experiment Video

Updated: May 12, 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

Adapting to target error without visual feedback.

Brendan D Cameron1, Jarrod Blinch, Alyson Plecash

  • 1Departament de Psicologia Basica, Universitat de Barcelona, Barcelona, Catalonia, Spain. cameronbrendan5@gmail.com

Acta Psychologica
|April 9, 2013
PubMed
Summary
This summary is machine-generated.

Motor learning occurs even without visual feedback. Participants adapted reach behavior after an unperceived target jump, demonstrating that online error signals drive motor adaptation without visual hand-to-target error information.

More Related Videos

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
07:36

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

Related Experiment Videos

Last Updated: May 12, 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

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
07:36

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

Area of Science:

  • Neuroscience
  • Motor Control
  • Human Movement Science

Background:

  • Motor adaptation typically relies on visual feedback of hand-to-target error.
  • The necessity of visual error information for motor learning remains an open question.

Purpose of the Study:

  • To investigate if motor learning can occur without visual error feedback.
  • To examine adaptation to an unperceived target perturbation under visual open-loop conditions.

Main Methods:

  • Participants performed reaches to a target that either jumped during a saccade (Perturbation condition) or remained stationary (Stationary condition).
  • Hand vision was occluded during reaches (visual open-loop).
  • Adaptation was assessed by comparing post-perturbation reach performance to a baseline.

Main Results:

  • Participants exposed to the unperceived target jump showed increased reach distance in a subsequent test phase compared to controls.
  • This indicates successful motor learning despite the absence of visual error information.

Conclusions:

  • Online motor error can induce adaptation even without explicit visual feedback of performance.
  • Motor systems can learn and adapt behavior based on implicit error signals.