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

7.8K
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....
7.8K
Vision01:24

Vision

60.4K
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.
60.4K
Visual System01:26

Visual System

1.9K
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...
1.9K
Association Areas of the Cortex01:21

Association Areas of the Cortex

9.6K
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,...
9.6K
Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

2.8K
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...
2.8K

You might also read

Related Articles

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

Sort by
Same author

Three-photon imaging of hippocampal neurogenesis through the intact mouse brain.

Research square·2026
Same author

Lack of cross modal plasticity potentially linked to ongoing activation of visual cortex and superior colliculus in the rd10 mouse model of retinitis pigmentosa.

Cerebral cortex (New York, N.Y. : 1991)·2025
Same author

Coordinated multi-level adaptations across neocortical areas during task learning.

Nature communications·2025
Same author

Precise, predictable genome integrations by deep-learning-assisted design of microhomology-based templates.

Nature biotechnology·2025
Same author

The road to commercial success for neuromorphic technologies.

Nature communications·2025
Same author

Brain-wide microstrokes affect the stability of memory circuits in the hippocampus.

Nature communications·2025
Same journal

DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation.

PLoS computational biology·2026
Same journal

Redefining and estimating the early-phase reproduction ratio for epidemic outbreaks in spatially structured populations.

PLoS computational biology·2026
Same journal

Optimized phenotype definitions boost GWAS power.

PLoS computational biology·2026
Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026
Same journal

Exploring the structural lexicon of the Proteome via Metric Geometry.

PLoS computational biology·2026
Same journal

Linking retinal sampling in neural encoding models to temporal profiles of visual processing in humans.

PLoS computational biology·2026
See all related articles

Related Experiment Video

Updated: Feb 16, 2026

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

11.3K

Specific excitatory connectivity for feature integration in mouse primary visual cortex.

Dylan R Muir1,2, Patricia Molina-Luna2, Morgane M Roth1,2

  • 1Biozentrum, University of Basel, Basel, Switzerland.

Plos Computational Biology
|December 15, 2017
PubMed
Summary
This summary is machine-generated.

Local excitatory connections in mouse primary visual cortex (V1) support feature binding. This "feature binding" connectivity model explains complex visual responses to plaid stimuli better than a "like-to-like" model.

More Related Videos

Laser-scanning Photostimulation of Optogenetically Targeted Forebrain Circuits
07:43

Laser-scanning Photostimulation of Optogenetically Targeted Forebrain Circuits

Published on: December 27, 2013

9.7K
Author Spotlight: Deciphering Neural Circuit Formation from Two-Photon Microscopy and Single Neuron Imaging
06:18

Author Spotlight: Deciphering Neural Circuit Formation from Two-Photon Microscopy and Single Neuron Imaging

Published on: November 21, 2023

1.4K

Related Experiment Videos

Last Updated: Feb 16, 2026

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

11.3K
Laser-scanning Photostimulation of Optogenetically Targeted Forebrain Circuits
07:43

Laser-scanning Photostimulation of Optogenetically Targeted Forebrain Circuits

Published on: December 27, 2013

9.7K
Author Spotlight: Deciphering Neural Circuit Formation from Two-Photon Microscopy and Single Neuron Imaging
06:18

Author Spotlight: Deciphering Neural Circuit Formation from Two-Photon Microscopy and Single Neuron Imaging

Published on: November 21, 2023

1.4K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Visual System

Background:

  • Local excitatory connections in mouse primary visual cortex (V1) are stronger between neurons with similar functional properties.
  • The precise rules governing local connectivity and their impact on neuronal responses remain unclear.
  • Neurons in V1 exhibit complex responses to plaid stimuli, not fully explained by responses to single gratings.

Purpose of the Study:

  • To investigate how rules of excitatory connectivity shape neuronal responses in mouse V1.
  • To test two models of local connectivity: 'like-to-like' versus 'feature binding'.
  • To determine which connectivity scheme best explains complex responses to plaid stimuli in V1.

Main Methods:

  • Developed large-scale computational models of V1 neural networks.
  • Compared model predictions with in vivo recordings of visual representations in mouse V1.
  • Analyzed neuronal responses to single gratings and plaid stimuli under different connectivity assumptions.

Main Results:

  • The 'feature binding' connectivity model accurately replicated experimentally observed facilitatory responses to plaid stimuli.
  • This model explained selective plaid responses not predicted by individual grating selectivity.
  • Feature binding connectivity was consistent with broad anatomical selectivity observed in mouse V1.

Conclusions:

  • Visual feature binding can arise from local recurrent mechanisms, independent of feedforward convergence.
  • The 'feature binding' model provides a robust explanation for complex visual processing in mouse V1.
  • Local recurrent excitatory connectivity plays a crucial role in shaping visual representations in V1.