A high-dimensional in-sensor reservoir computing system with optoelectronic memristors for high-performance neuromorphic machine vision-Reference-Cited by-同舟云学术

A high-dimensional in-sensor reservoir computing system with optoelectronic memristors for high-performance neuromorphic machine vision

Published:2024 Issue:2 Volume:11 Page:499-509
ISSN:2051-6347
Container-title:Materials Horizons
language:en
Short-container-title:Mater. Horiz.

Author:

Jang Yoon Ho¹,Han Joon-Kyu¹,Moon Sangik¹,Shim Sung Keun¹,Han Janguk¹,Cheong Sunwoo¹,Lee Soo Hyung¹,Hwang Cheol Seong¹^ORCID

Affiliation:

1. Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea

Abstract

A high-dimensional in-sensor reservoir computing system with optoelectronic memristors is demonstrated utilizing optical and electrical masks. Handwritten digit classification and human action recognition are successfully achieved with high accuracy.

Funder

National Research Foundation of Korea

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrical and Electronic Engineering,Process Chemistry and Technology,Mechanics of Materials,General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2024/MH/D3MH01584J

Reference46 articles.

1. Neuromorphic vision sensors: Principle, progress and perspectives

2. An Ultra Low-Power Memristive Neuromorphic Circuit for Internet of Things Smart Sensors

3. Near-sensor and in-sensor computing

4. A comprehensive review on emerging artificial neuromorphic devices

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