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

Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

4.0K
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....
4.0K
Visual System01:26

Visual System

613
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...
613
Somatosensory, Motor, and Association Cortex01:24

Somatosensory, Motor, and Association Cortex

539
The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at...
539
Vision01:24

Vision

53.5K
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.
53.5K
Observational Learning01:12

Observational Learning

202
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
202
Cognitive Learning01:21

Cognitive Learning

278
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
278

You might also read

Related Articles

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

Sort by
Same author

Glaucoma Classification Through SSVEP-Derived ON- and OFF-Pathway Features.

Translational vision science & technology·2026
Same author

Evidence That Cerebral Visual Impairment May Evolve after Initial Brain Injury.

Ophthalmology·2026
Same author

Steady-state EEG captures how elementary classroom instruction drives plasticity for novel visual words.

NPJ science of learning·2025
Same author

Strong mnemonic prediction errors increase cognitive control, attention, and arousal.

bioRxiv : the preprint server for biology·2025
Same author

Cortical latency predicts reading fluency from late childhood to early adolescence.

Developmental cognitive neuroscience·2025
Same author

Orientation Maps in Mouse Superior Colliculus Explained by Population Model of Non-Orientation Selective Neurons.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025

Related Experiment Video

Updated: Jul 15, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

443

Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation.

Aran Nayebi1,2,3, Nathan C L Kong1,4,5, Chengxu Zhuang1,3,4

  • 1Wu Tsai Neurosciences Institute, Stanford University, Stanford, California, United States of America.

Plos Computational Biology
|October 2, 2023
PubMed
Summary
This summary is machine-generated.

We developed a computational model of the mouse visual cortex, revealing it functions as a shallow, low-resolution network. Task-agnostic, self-supervised learning best explains its visual processing capabilities, unlike in primates.

More Related Videos

Monocular Visual Deprivation and Ocular Dominance Plasticity Measurement in the Mouse Primary Visual Cortex
08:42

Monocular Visual Deprivation and Ocular Dominance Plasticity Measurement in the Mouse Primary Visual Cortex

Published on: February 8, 2020

10.0K
Using Looming Visual Stimuli to Evaluate Mouse Vision
05:07

Using Looming Visual Stimuli to Evaluate Mouse Vision

Published on: June 13, 2019

11.3K

Related Experiment Videos

Last Updated: Jul 15, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

443
Monocular Visual Deprivation and Ocular Dominance Plasticity Measurement in the Mouse Primary Visual Cortex
08:42

Monocular Visual Deprivation and Ocular Dominance Plasticity Measurement in the Mouse Primary Visual Cortex

Published on: February 8, 2020

10.0K
Using Looming Visual Stimuli to Evaluate Mouse Vision
05:07

Using Looming Visual Stimuli to Evaluate Mouse Vision

Published on: June 13, 2019

11.3K

Area of Science:

  • Computational neuroscience
  • Systems neuroscience
  • Vision research

Background:

  • The mouse visual system supports diverse behaviors, but its cortical organization and function remain unclear.
  • Understanding the mouse visual cortex is crucial for deciphering visual processing principles.

Purpose of the Study:

  • To develop a quantitative model of the mouse visual cortex.
  • To identify key structural and functional principles of mouse visual processing.
  • To compare mouse visual cortex function with primate models.

Main Methods:

  • Developed a high-fidelity computational model of the mouse visual cortex.
  • Investigated optimal network structures (depth, input resolution).
  • Compared supervised vs. self-supervised (contrastive embeddings) learning objectives.

Main Results:

  • A shallow network with low-resolution input best models mouse visual cortex.
  • Self-supervised contrastive learning objectives significantly outperform supervised methods in matching mouse cortex.
  • This contrasts with primate models where supervised and self-supervised methods are comparable.
  • Self-supervised learning yields a general-purpose visual representation beneficial for various tasks.

Conclusions:

  • Mouse visual cortex is a shallow, low-resolution system optimized for efficiency.
  • Self-supervised learning captures essential functional principles of the mouse visual system.
  • Mouse visual processing is distinct from primates, emphasizing general-purpose representation over categorization.