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

Vision01:24

Vision

55.0K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
55.0K
Visual System01:26

Visual System

652
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
652
Association Areas of the Cortex01:21

Association Areas of the Cortex

5.9K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
5.9K
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

4.4K
The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
4.4K
Parallel Processing01:20

Parallel Processing

205
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
205
Visual Agnosia01:12

Visual Agnosia

270
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...
270

You might also read

Related Articles

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

Sort by
Same author

Functional organization of the human visual system at birth and across late gestation.

Neuron·2026
Same author

Large-scale functional overlap between dorsal and ventral object-responsive networks.

Research square·2026
Same author

Morphometrics of the preserved post-surgical hemisphere in pediatric drug-resistant epilepsy and implications for post-operative cognition.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Colour blindness adversely impacts face recognition.

Visual cognition·2026
Same author

Corrigendum to "Deep learning in fetal, infant, and toddler neuroimaging research"[Dev. Cognit. Neurosci. (2026), 101680].

Developmental cognitive neuroscience·2026
Same author

Deep learning in fetal, infant, and toddler neuroimaging research.

Developmental cognitive neuroscience·2026
Same journal

Geographical psychology: Spatial variation in psychological phenomena and their consequences.

Trends in cognitive sciences·2026
Same journal

Multi-brain neurofeedback: what are we training for?

Trends in cognitive sciences·2026
Same journal

The developing vocal self.

Trends in cognitive sciences·2026
Same journal

Searching beyond decrements: Attentional guidance across the adult lifespan.

Trends in cognitive sciences·2026
Same journal

Looking into working memory through micro eye movements.

Trends in cognitive sciences·2026
Same journal

Timescapes of non-human experience.

Trends in cognitive sciences·2026
See all related articles

Related Experiment Video

Updated: Aug 24, 2025

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

8.4K

Does the brain's ventral visual pathway compute object shape?

Vladislav Ayzenberg1, Marlene Behrmann2

  • 1Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Psychology Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

Trends in Cognitive Sciences
|October 22, 2022
PubMed
Summary
This summary is machine-generated.

Human object recognition relies on shape representations tolerant to appearance changes. Evidence suggests the ventral visual pathway may use local features, not global shape, necessitating a reevaluation of its role in perception.

Keywords:
deep neural networksdorsal streamobject recognitionshape perceptionventral streamviewpoint-invariance

More Related Videos

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

11.9K
Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
11:15

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

13.2K

Related Experiment Videos

Last Updated: Aug 24, 2025

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

8.4K
Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

11.9K
Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
11:15

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

13.2K

Area of Science:

  • Cognitive Neuroscience
  • Visual Perception
  • Neuroscience

Background:

  • Human object recognition is supported by shape representations invariant to appearance variations.
  • Global shape representations are thought to arise from the spatial structure of local features, not their appearance.
  • Accumulating evidence challenges the ventral visual pathway's role in representing global shape.

Purpose of the Study:

  • To reevaluate the role of the ventral visual pathway in object perception.
  • To investigate whether ventral representations are based on local image features rather than global shape.
  • To propose a broader network for shape perception involving the dorsal pathway.

Main Methods:

  • Review of existing behavioral and neuroimaging literature.
  • Analysis of evidence regarding ventral visual pathway representations.
  • Theoretical modeling of shape perception mechanisms.

Main Results:

  • The ventral visual pathway may not represent global shape as previously assumed.
  • Ventral representations might be better characterized as a basis set of local image features.
  • Existing evidence necessitates a reconsideration of the ventral pathway's function in object recognition.

Conclusions:

  • The ventral visual pathway's role in object recognition may be limited to local feature representation.
  • A broader neural network, potentially including the dorsal pathway, may be responsible for global shape perception.
  • Current understanding of object recognition requires revision to incorporate these findings.