Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Depth Perception and Spatial Vision

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

Development of a picture-based tool for subjective deficits in cognition and ADLs.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026

Same author

Non-ICANS neurotoxicity after BCMA-directed CAR-T therapy: Clinical spectrum, outcomes, and a framework for neurology-oncology co-management.

HemaSphere·2026

Same author

The Impact of Prior Beliefs about Volatility on Adaptive Behavior.

Journal of cognition·2026

Same author

Wearable Movement-Tracking for Prodromal Parkinson's Disease Detection: A Cross-Country Validation Study.

Movement disorders : official journal of the Movement Disorder Society·2026

Same author

Repetitive transcranial magnetic stimulation enhances alpha power in Alzheimer's disease patients.

Journal of Alzheimer's disease : JAD·2025

Same author

Alterations of sensorimotor predictive processes and their electrophysiological signatures in Tourette syndrome.

Brain communications·2025

Search research articles

Related Experiment Video

Updated: Mar 3, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Spatial Attention, Motor Intention, and Bayesian Cue Predictability in the Human Brain.

Anna B Kuhns¹, Pascasie L Dombert¹, Paola Mengotti¹

¹Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, 52425 Juelich, Germany.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience

|April 29, 2017

Summary

The brain uses prediction error signals to update beliefs about spatial attention and motor intention. Distinct brain regions encode these signals, but the hippocampus integrates new information across both systems.

Keywords:

Bayesian inference attentional networks fMRI motor preparation psychophysiological interaction

More Related Videos

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Related Experiment Videos

Last Updated: Mar 3, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Area of Science:

Cognitive Neuroscience
Neuroimaging
Predictive Processing

Background:

Predictions shape environmental perception and response.
Bayesian principles may underlie prediction generation, but neural mechanisms are unclear.
Specificity of predictive processing across cognitive systems needs investigation.

Purpose of the Study:

Identify neural signatures of predictive processing in spatial attention and motor intention.
Compare common and distinct brain mechanisms.
Investigate the role of prediction errors and their precision weighting.

Main Methods:

fMRI in 23 healthy volunteers performing spatial and motor cueing tasks.
Variable cue validity to elicit prediction errors.
Bayesian observer model to estimate trialwise predictability.
Parametric modulation of BOLD signals by predictability.

Main Results:

Distinct brain regions showed predictability effects: right temporoparietal cortex (spatial attention), left angular gyrus & anterior cingulate cortex (motor intention).
All identified areas exhibited predictability-dependent coupling with the right hippocampus.
These findings suggest distinct encoding but shared hippocampal integration of prediction errors.

Conclusions:

Precision-weighted prediction errors are encoded in separate brain areas for spatial and motor tasks.
Hippocampal connectivity is crucial for integrating trialwise outcomes in both systems.
Novel insights into the generality and specificity of predictive processing in the human brain.