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

Color Vision

Color Vision

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.

You might also read

Related Articles

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

Sort by

Same author

Engineering temperature- and radiation-resistant van der Waals oxide optoelectronics via heteroatom-intercalation.

Nature communications·2026

Same author

S-atom dislocation-induced room-temperature ferroelectricity in two-dimensional α-MnS semiconductor.

Nature communications·2026

Same author

Ferroelectricity-modulated asymmetric van der Waals heterostructure for ultralow-power neuromorphic synapse and logic-in-memory operations.

Nature communications·2026

Same author

Metallic tellurium for p-type contacts of two-dimensional MoTe<sub>2</sub> field-effect transistors.

Nature communications·2026

Same author

Ferroelectricity-driven strain-mediated magnetoelectric coupling in two-dimensional multiferroic heterostructure.

Nature communications·2025

Same author

Hole-doping-assisted epitaxial growth of wafer-scale rhombohedral-stacked bilayer transition-metal dichalcogenides single crystals.

Nature communications·2025

Search research articles

Related Experiment Video

Updated: Jun 27, 2025

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Published on: June 23, 2018

A Reconfigurable Bipolar Image Sensor for High-Efficiency Dynamic Vision Recognition.

Jia Yang^1,2, Yuchen Cai^1,2, Feng Wang^1,2

¹CAS Key Laboratory of Nanosystem and Hierarchical Fabrication, National Center for Nanoscience and Technology, Beijing 100190, China.

|May 6, 2024

Summary

A novel reconfigurable bipolar image sensor (RBIS) enables efficient dynamic vision perception and processing (DVPP) for edge AI. This new sensor achieves high accuracy with fewer AI parameters, paving the way for advanced machine vision hardware.

Keywords:

convolutional neural networks dynamic vision perception and processing edge artificial intelligence reconfigurable bipolar image sensor two-dimensional heterostructures

More Related Videos

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

Related Experiment Videos

Last Updated: Jun 27, 2025

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors

Published on: June 23, 2018

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

Area of Science:

Materials Science
Artificial Intelligence
Sensor Technology

Background:

Dynamic vision perception and processing (DVPP) is crucial for edge AI applications.
Existing imaging systems face challenges with efficiency and compatibility with advanced machine vision.

Purpose of the Study:

To propose a reconfigurable bipolar image sensor (RBIS) for efficient in-sensor DVPP.
To demonstrate the compatibility of RBIS with advanced machine vision algorithms like Convolutional Neural Networks (CNNs).

Main Methods:

Fabrication of a two-dimensional WSe2/GeSe heterostructure device for RBIS.
Utilizing gate-tunable built-in electric field for reversible photoresponse bipolarity.
Integration of RBIS with a back-end CNN for DVPP tasks.

Main Results:

Achieved high recognition accuracy (>94.9%) on the DVS128 dataset.
Demonstrated significantly reduced neural network parameters compared to systems without RBIS.
Developed an optimized device with a vertically stacked structure and stable nonvolatile bipolarity.

Conclusions:

The proposed RBIS offers a simple, efficient solution for DVPP hardware.
RBIS outputs are compatible with advanced machine vision algorithms.
This technology holds potential for next-generation edge AI vision systems.