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

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...
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.
Impression Management Techniques I: Managing Appearances01:29

Impression Management Techniques I: Managing Appearances

Appearance is a multidimensional aspect of self-presentation that encompasses observable attributes such as clothing, grooming, speech, and nonverbal behavior. These elements are often strategically managed to align with socially constructed expectations in different settings. For instance, individuals tailor their appearance during job interviews, social gatherings, or athletic events to meet the perceived norms of those environments.Contextual Adaptation and Social SignalsThe research...
Perceptual Constancy01:12

Perceptual Constancy

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...
Impression Management Techniques III: Aligning Actions01:29

Impression Management Techniques III: Aligning Actions

Aligning actions are communicative strategies individuals employ to maintain social harmony and preserve personal identity in the face of potential disruptions to social norms. These actions are particularly important in managing social impressions when one's behavior might be seen as inappropriate, incompetent, or morally questionable.Types of Aligning ActionsThe three principal types of aligning actions are disclaimers, accounts, and apologies.DisclaimersDisclaimers are preventive; they are...
Transformations of Functions III01:20

Transformations of Functions III

Transformations modify the graphical representation of a function without changing its fundamental form. One common transformation is reflection, which flips the graph across a designated axis. When the vertical coordinates of all points are multiplied by the negative one, the entire graph is mirrored over the horizontal axis. This transformation reverses the vertical orientation of peaks and troughs, akin to signal inversion in electrical systems, where a waveform is flipped, but the timing of...

You might also read

Related Articles

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

Sort by
Same author

Friend, Not Foe: Lowered Tissue Reactivity to Long-Term Polyimide Implants.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

How the visual brain can learn to parse images using a multiscale, incremental grouping process.

PLoS computational biology·2026
Same author

Gestalt laws enhance the representation of figures over backgrounds in the visual cortex and influence contrast perception.

Scientific reports·2026
Same author

Friend, not Foe: Lowered Tissue Reactivity to Long-Term Polyimide Implants.

bioRxiv : the preprint server for biology·2026
Same author

HazardPyMatch: A tool for identifying reproductive and other hazards in scientific laboratories.

Cell reports methods·2026
Same author

Large-scale mapping of artificial perceptions for neuroprostheses using spontaneous neuronal activity in macaque and human visual cortex.

Brain stimulation·2025
Same journal

On the clinical anatomy of technological cognition.

Cognitive neuroscience·2026
Same journal

Increasing statistical power in functional MRI through permutation and multivariate statistics.

Cognitive neuroscience·2026
Same journal

fMRI research: do we need statistically better studies, larger studies, or no more studies?

Cognitive neuroscience·2026
Same journal

Catching the drift: EEG microstate dynamics resemble time-on-task changes in mind wandering and sustained attention.

Cognitive neuroscience·2026
Same journal

Toward a cognitive neuroscience of technology.

Cognitive neuroscience·2026
Same journal

What behavioral relevance is (not).

Cognitive neuroscience·2026
See all related articles

Related Experiment Video

Updated: May 7, 2026

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Surface reconstruction, figure-ground modulation, and border-ownership.

Danique Jeurissen1, Matthew W Self, Pieter R Roelfsema

  • 1a Department of Vision and Cognition , Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences , Amsterdam , The Netherlands.

Cognitive Neuroscience
|October 1, 2013
PubMed
Summary
This summary is machine-generated.

The Differentiation-Integration for Surface Completion (DISC) model advances understanding of visual surface reconstruction and figure-ground organization. It highlights neural coding of surface elements and the influence of attention and object recognition on visual perception.

More Related Videos

Generating Strictly Controlled Stimuli for Figure Recognition Experiments
05:39

Generating Strictly Controlled Stimuli for Figure Recognition Experiments

Published on: March 18, 2019

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

Related Experiment Videos

Last Updated: May 7, 2026

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Generating Strictly Controlled Stimuli for Figure Recognition Experiments
05:39

Generating Strictly Controlled Stimuli for Figure Recognition Experiments

Published on: March 18, 2019

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

Area of Science:

  • Neuroscience
  • Computational Vision
  • Cognitive Psychology

Background:

  • Understanding visual surface reconstruction is crucial for comprehending how the brain perceives the world.
  • Figure-ground organization, the process of distinguishing objects from their background, is a fundamental aspect of visual perception.
  • Existing models often lack a comprehensive explanation for how interior contours are resolved.

Purpose of the Study:

  • To introduce and evaluate the Differentiation-Integration for Surface Completion (DISC) model for visual surface reconstruction.
  • To explore the role of neural coding in figure-ground organization, including border-ownership.
  • To investigate the influence of attention and object recognition on surface perception.

Main Methods:

  • The study proposes the DISC model, a neurocomputational framework.
  • It analyzes neural coding mechanisms in the visual cortex related to surface assignment.
  • It discusses the integration of object recognition and attention within the model.

Main Results:

  • The DISC model offers a valuable framework for understanding figure-ground organization.
  • Neurons in the visual cortex encode surface element belongingness to figure or background, influenced by attention.
  • Strong links between object recognition and figure-ground assignment are necessary for resolving interior contours.

Conclusions:

  • The DISC model provides significant insights into visual surface reconstruction.
  • Incorporating attention and object recognition into neurocomputational models will enhance our understanding of figure-ground perception.
  • Further development of these models is essential for a complete picture of visual processing.