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

Parallel Processing01:20

Parallel Processing

847
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...
847
Visual System01:26

Visual System

2.2K
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...
2.2K
Vision01:24

Vision

61.2K
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.
61.2K
Storage01:23

Storage

474
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
474
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

8.7K
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....
8.7K
Color Vision01:24

Color Vision

1.8K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
1.8K

You might also read

Related Articles

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

Sort by
Same author

A framework of digital biomarkers for neurodegenerative diseases.

Nature reviews bioengineering·2026
Same author

The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion.

Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition·2026
Same author

Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation.

Advances in neural information processing systems·2026
Same author

Learning reinforces curiosity for related information.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Binding items to contexts through conjunctive neural representations with the method of loci.

Nature communications·2026
Same author

Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation.

... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision·2026

Related Experiment Video

Updated: Mar 12, 2026

Using Looming Visual Stimuli to Evaluate Mouse Vision
05:07

Using Looming Visual Stimuli to Evaluate Mouse Vision

Published on: June 13, 2019

12.4K

Two Distinct Scene-Processing Networks Connecting Vision and Memory.

Christopher Baldassano1, Andre Esteva2, Li Fei-Fei1

  • 1Department of Computer Science, Stanford University , Stanford, California 94305.

Eneuro
|November 9, 2016
PubMed
Summary
This summary is machine-generated.

Scene processing in the brain involves two distinct networks. One network processes visual scene features, while the other integrates scene information with memory and navigation.

Keywords:
memorynetworksscenevision

More Related Videos

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.6K
Eye Movement Monitoring of Memory
08:06

Eye Movement Monitoring of Memory

Published on: August 15, 2010

15.3K

Related Experiment Videos

Last Updated: Mar 12, 2026

Using Looming Visual Stimuli to Evaluate Mouse Vision
05:07

Using Looming Visual Stimuli to Evaluate Mouse Vision

Published on: June 13, 2019

12.4K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.6K
Eye Movement Monitoring of Memory
08:06

Eye Movement Monitoring of Memory

Published on: August 15, 2010

15.3K

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • The human brain utilizes multiple regions for processing natural scenes.
  • A unifying framework for understanding scene processing networks is currently lacking.
  • The parahippocampal place area (PPA) is classically implicated in scene perception.

Purpose of the Study:

  • To propose a new organizational principle for neural networks involved in scene processing.
  • To differentiate the functional roles of distinct brain networks within scene processing.
  • To provide a framework bridging existing research on scene perception.

Main Methods:

  • Functional connectivity analysis to map brain network interactions.
  • Meta-analyses of existing neuroimaging studies on scene processing.
  • Identification of distinct networks splitting the parahippocampal place area (PPA).

Main Results:

  • Two distinct networks involved in scene processing were identified, splitting the PPA.
  • Network 1 (occipital place area/transverse occipital sulcus, posterior PPA) processes visual features and has retinotopic maps.
  • Network 2 (caudal inferior parietal lobule, retrosplenial complex, anterior PPA) connects to the hippocampus and is involved in memory and navigation.

Conclusions:

  • Scene processing relies on two distinct networks: one for visual features and one for contextual integration.
  • This framework clarifies the functional division within scene-processing regions.
  • The proposed model integrates findings across various research lines and offers testable predictions.