Search research articles

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Coupled Fe<sub>3</sub>O<sub>4</sub>-Cluster Precipitates and Single Fe-Atom Catalysts Can Boost Oxygen Reduction via Concomitantly Accelerated Water Dissociation.

Angewandte Chemie (International ed. in English)·2026

Same author

CMOS-Integrated Synaptic Photoreceptor Chip Inspired by Insect Visual Processing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same author

A Polarization-Sensitive ReS<sub>2</sub>/Si Junction Field-Effect Synaptic Transistor for Biometric Authentication and Imaging Applications.

ACS applied materials & interfaces·2026

Same author

Noncollinear ferrielectricity in a van der Waals crystal.

Nature communications·2026

Same author

Weakened Interfacial Hybridization Unlocks High-Capacity Operation of Commercial Spinel Cathodes.

Advanced materials (Deerfield Beach, Fla.)·2026

Same author

Open Circuit Voltage Enhancement and Defect Suppression of Wide-Bandgap CsPbIBr<sub>2</sub> Perovskite Solar Cells by Phenylhydrazinium Chloride Incorporation.

ACS omega·2026

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

Search research articles

Related Experiment Video

Updated: Jul 12, 2025

Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates

Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates

Published on: July 9, 2020

Neuro-inspired optical sensor array for high-accuracy static image recognition and dynamic trace extraction.

Pei-Yu Huang¹, Bi-Yi Jiang^2,3, Hong-Ji Chen¹

¹Sauvage Laboratory for Smart Materials, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China.

Nature Communications

|October 23, 2023

Summary

This study introduces a novel neuro-inspired optical sensor using NbS2/MoS2 films for edge computing. The sensor efficiently processes static and dynamic visual data, enabling high-accuracy image recognition and moving target detection.

More Related Videos

Time-Lapse Imaging of Neuronal Arborization using Sparse Adeno-Associated Virus Labeling of Genetically Targeted Retinal Cell Populations

Time-Lapse Imaging of Neuronal Arborization using Sparse Adeno-Associated Virus Labeling of Genetically Targeted Retinal Cell Populations

Published on: March 19, 2021

Optical Recording of Electrical Activity in Guinea-pig Enteric Networks using Voltage-sensitive Dyes

Optical Recording of Electrical Activity in Guinea-pig Enteric Networks using Voltage-sensitive Dyes

Published on: December 4, 2009

Related Experiment Videos

Last Updated: Jul 12, 2025

Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates

Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates

Published on: July 9, 2020

Time-Lapse Imaging of Neuronal Arborization using Sparse Adeno-Associated Virus Labeling of Genetically Targeted Retinal Cell Populations

Time-Lapse Imaging of Neuronal Arborization using Sparse Adeno-Associated Virus Labeling of Genetically Targeted Retinal Cell Populations

Published on: March 19, 2021

Optical Recording of Electrical Activity in Guinea-pig Enteric Networks using Voltage-sensitive Dyes

Optical Recording of Electrical Activity in Guinea-pig Enteric Networks using Voltage-sensitive Dyes

Published on: December 4, 2009

Area of Science:

Materials Science
Artificial Intelligence
Edge Computing

Background:

Edge computing demands efficient data processing for AI applications.
Neuro-inspired vision systems require hardware capable of processing both static and dynamic visual information.
Developing low-power, high-performance sensors is crucial for advanced artificial vision.

Purpose of the Study:

To demonstrate a neuro-inspired optical sensor array based on 2D NbS2/MoS2 hybrid films.
To achieve integrated sensing, memory, and contrast enhancement for static images.
To enable in-sensor trajectory registration for moving targets.

Main Methods:

Fabrication of a 10x10 array of NbS2/MoS2 phototransistors.
Characterization of photo-induced conductance plasticity and energy consumption.
Experimental implementation of in-sensor trajectory registration for moving light spots.

Main Results:

The sensor array exhibited remarkable photo-induced conductance plasticity and low energy consumption.
High image recognition accuracy was achieved when integrated with convolutional neural networks (CNNs).
Accurate restoration of moving light spot trajectories was demonstrated through in-sensor processing.

Conclusions:

The developed neuro-inspired optical sensor array offers integrated functionalities for static and dynamic visual data processing.
This platform shows significant potential for implementing high-performance artificial vision systems in edge computing.
The use of NbS2/MoS2 hybrid films provides a promising route for advanced neuromorphic sensing applications.