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

Factors Affecting Perception01:25

Factors Affecting Perception

2.6K
Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
2.6K
Decision Making01:20

Decision Making

866
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
866
Perceptual Constancy01:12

Perceptual Constancy

1.2K
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
1.2K
Reason and Intuition01:37

Reason and Intuition

7.4K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.4K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

1.8K
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.
1.8K
Visual Agnosia01:12

Visual Agnosia

899
Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
899

You might also read

Related Articles

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

Sort by
Same author

Challenging the prokaryotic MGE-defense origin of eukaryotic RNA editing.

mLife·2026
Same author

Short-term effects of exercise therapy on pulmonary function and exercise tolerance in patients with mild to moderate adolescent idiopathic scoliosis: a meta-analysis of randomized controlled trial.

Frontiers in sports and active living·2026
Same author

[Research progress on the neuromodulation targets in stroke rehabilitation].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same author

A Restricted Two-Stage Multi-Locus Multi-Allele Genome-Wide Association Study Reveals Genomic Loci and Candidate Genes Controlling Plant-Height-Related Traits in Soybean Under Normal and Shade Conditions.

International journal of molecular sciences·2026
Same author

The dynamic interplay between cerebral collateral cascade and infarct growth rate in futile recanalization after endovascular thrombectomy: A pilot retrospective cohort study.

Clinical neurology and neurosurgery·2026
Same author

Adverse events following HPV vaccine reported to the Vaccine Adverse Event Reporting System.

PloS one·2026

Related Experiment Video

Updated: Jan 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

6.5K

Increasing visual uncertainty modulates multisensory decision-making.

Xiangfu Yang1, Weiping Yang2, Yinghua Yu1

  • 1Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan.

Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
|December 3, 2025
PubMed
Summary
This summary is machine-generated.

Increased visual uncertainty impacts brain decision-making processes, not early sensory encoding. Multisensory integration adapts dynamically to maintain effective decisions under uncertainty.

Keywords:
Audiovisual integrationDrift‒diffusion modelEvent-related potentialMultisensory decision-makingVisual uncertainty

More Related Videos

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
05:43

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

5.8K
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.4K

Related Experiment Videos

Last Updated: Jan 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

6.5K
Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
05:43

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

5.8K
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.4K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Decision Science

Background:

  • The brain integrates multisensory information for optimal decision-making, especially under perceptual uncertainty.
  • It remains unclear if visual uncertainty affects decision processes or non-decision sensory processes in multisensory decision-making.

Purpose of the Study:

  • To investigate how increasing visual uncertainty influences multisensory decision-making processes.
  • To differentiate effects on decision-making versus early sensory encoding.

Main Methods:

  • An audiovisual categorization task with varying visual uncertainty levels (low, medium, high).
  • Behavioral data analyzed using drift-diffusion modeling.
  • Electrophysiological recordings (EEG) and analysis of early (140-220 ms) and late (300-380 ms) stages.

Main Results:

  • Increased visual uncertainty decreased evidence accumulation rate (drift-diffusion model).
  • Electrophysiology showed reduced late-stage amplitude (decision-making) but not early-stage amplitude (sensory encoding).
  • Audiovisual integration occurred robustly in early stages but only under medium/high uncertainty in late stages.

Conclusions:

  • Increased visual uncertainty directly modulates the decision process, not early sensory encoding.
  • Multisensory integration strategies adapt dynamically to visual uncertainty to ensure effective decision-making.