Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Vision

Vision

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.

Motor and Sensory Areas of the Cortex

Motor and Sensory Areas of the Cortex

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....

You might also read

Related Articles

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

Sort by

Same author

Visual uncertainty and task demands shape active sensing strategies in mice.

Current biology : CB·2026

Same author

The AAHKS Clinical Research Award: Maximizing Bearing Size Markedly Reduces Dislocations in Primary Total Hip Arthroplasty.

The Journal of arthroplasty·2026

Same author

Endoscopic resection of knosp grade 0-2 growth hormone-secreting pituitary adenomas with routine medial cavernous sinus wall excision.

Acta neurochirurgica·2026

Same author

Inhibition benefits neural system identification.

bioRxiv : the preprint server for biology·2026

Same author

Design, Preclinical Evaluation, and Clinical Translation of [68Ga]Ga/[177Lu]Lu-JH120061, A Novel Radiopharmaceutical Targeting CXCR4.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026

Same author

Estimating temporal treatment-effect patterns of radiotherapy and chemotherapy in lower-grade gliomas using causal machine learning.

Scientific reports·2026

Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026

Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026

Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026

Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026

Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026

Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 5, 2025

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

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

Published on: February 8, 2020

Bipartite invariance in mouse primary visual cortex.

Zhiwei Ding^1,2, Dat T Tran^1,2, Kayla Ponder^1,2

¹Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.

Biorxiv : the Preprint Server for Biology

|March 30, 2023

Summary

This summary is machine-generated.

Researchers discovered a novel bipartite invariance in mouse visual cortex neurons. This finding suggests a new mechanism for how the brain segments objects by detecting texture-defined boundaries, enhancing generalization abilities.

More Related Videos

Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice

Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice

Published on: July 31, 2019

Cross-Modal Multivariate Pattern Analysis

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Related Experiment Videos

Last Updated: Aug 5, 2025

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

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

Published on: February 8, 2020

Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice

Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice

Published on: July 31, 2019

Cross-Modal Multivariate Pattern Analysis

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Area of Science:

Neuroscience
Computational Neuroscience
Computer Vision

Background:

Intelligent systems generalize by inferring causes from sensory data despite environmental variations.
Understanding neuronal selectivity and invariance is key to deciphering brain generalization.
Characterizing neuronal responses to natural stimuli is challenging due to high-dimensional, non-linear visual processing.

Conclusions:

Bipartite invariance may enable object segmentation by detecting texture-defined boundaries irrespective of phase.
Replicated bipartite DEIs in functional connectomics data, paving the way for circuit-level understanding.
Demonstrated a data-driven deep learning approach for systematic characterization of neuronal invariances.