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

53.2K
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.
53.2K

You might also read

Related Articles

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

Sort by
Same author

Laminar-specific control of response gain and orientation-tuning by parvalbumin-expressing inhibitory interneurons in primate visual cortex.

Research square·2026
Same author

Size tuning of neural response variability in laminar circuits of macaque primary visual cortex.

eLife·2026
Same author

Laminar-specific control of response gain and orientation-tuning by parvalbumin-expressing inhibitory interneurons in primate visual cortex.

bioRxiv : the preprint server for biology·2026
Same author

Cortical Response to Acute Implantation of the Utah Optrode Array in Macaque Cortex.

Advanced healthcare materials·2025
Same author

Cortical Response to Acute Implantation of the Utah Optrode Array in Macaque Cortex.

bioRxiv : the preprint server for biology·2025
Same author

Laminar specificity and coverage of viral-mediated gene expression restricted to GABAergic interneurons and their parvalbumin subclass in marmoset primary visual cortex.

eLife·2024
Same journal

A human-specific genetic modifier reconfigures large-scale cortical network dynamics underlying behavioral performance.

bioRxiv : the preprint server for biology·2026
Same journal

<i>Staphylococcus aureus</i> uses a eukaryotic-like uridyltransferase to make UDP-GlcNAc for cell wall synthesis.

bioRxiv : the preprint server for biology·2026
Same journal

Dynamic redistribution of eIF4F controls cap-dependent translation initiation.

bioRxiv : the preprint server for biology·2026
Same journal

When does additional information improve accuracy of RNA secondary structure prediction?

bioRxiv : the preprint server for biology·2026
Same journal

Normative brain-state trajectories reveal deviation from healthy aging in Alzheimer's disease.

bioRxiv : the preprint server for biology·2026
Same journal

Noradrenergic infraslow rhythm during sleep is the critical link between heart-rate dynamics and memory consolidation.

bioRxiv : the preprint server for biology·2026
See all related articles

Related Experiment Video

Updated: Jun 29, 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

8.3K

Primate V2 Receptive Fields Derived from Anatomically Identified Large-Scale V1 Inputs.

Mahlega S Hassanpour, Sam Merlin, Frederick Federer

    Biorxiv : the Preprint Server for Biology
    |April 8, 2024
    PubMed
    Summary
    This summary is machine-generated.

    Neural circuits in the primate visual system (V1 to V2) create complex receptive fields (RFs). Simple linear combinations of primary visual cortex inputs explain V2 neuron selectivity for orientation and texture.

    More Related Videos

    Topographical Estimation of Visual Population Receptive Fields by fMRI
    06:02

    Topographical Estimation of Visual Population Receptive Fields by fMRI

    Published on: February 3, 2015

    9.3K
    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
    12:27

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

    Published on: February 15, 2017

    7.0K

    Related Experiment Videos

    Last Updated: Jun 29, 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

    8.3K
    Topographical Estimation of Visual Population Receptive Fields by fMRI
    06:02

    Topographical Estimation of Visual Population Receptive Fields by fMRI

    Published on: February 3, 2015

    9.3K
    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
    12:27

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

    Published on: February 15, 2017

    7.0K

    Area of Science:

    • Neuroscience
    • Computational Neuroscience
    • Primate Visual System

    Background:

    • Visual object recognition in primates relies on a hierarchical ventral visual pathway.
    • Neurons in this pathway progressively tune to more complex features, but underlying mechanisms are unknown.
    • Understanding receptive field (RF) complexity emergence in visual area 2 (V2) is crucial.

    Conclusions:

    • Linear summation of feedforward V1 inputs is sufficient to explain V2 receptive field properties.
    • This mechanism accounts for increased orientation selectivity and texture sensitivity in V2.
    • Demonstrates how hierarchical processing builds complex visual representations from simpler inputs.