Artificial optic-neural synapse for colored and color-mixed pattern recognition

Seunghwan Seo; Seo-Hyeon Jo; Sungho Kim; Jaewoo Shim; Seyong Oh; Jeong-Hoon Kim; Keun Heo; Jae-Woong Choi; Changhwan Choi; Saeroonter Oh; Duygu Kuzum; H.-S. Philip Wong; Jin-Hong Park

doi:10.1038/s41467-018-07572-5

Nature Communications (Nov 2018)

Artificial optic-neural synapse for colored and color-mixed pattern recognition

Seunghwan Seo,
Seo-Hyeon Jo,
Sungho Kim,
Jaewoo Shim,
Seyong Oh,
Jeong-Hoon Kim,
Keun Heo,
Jae-Woong Choi,
Changhwan Choi,
Saeroonter Oh,
Duygu Kuzum,
H.-S. Philip Wong,
Jin-Hong Park

Affiliations

Seunghwan Seo: Department of Electrical and Computer Engineering, Sungkyunkwan University
Seo-Hyeon Jo: Department of Electrical and Computer Engineering, Sungkyunkwan University
Sungho Kim: Department of Electrical and Computer Engineering, Sungkyunkwan University
Jaewoo Shim: Department of Electrical and Computer Engineering, Sungkyunkwan University
Seyong Oh: Department of Electrical and Computer Engineering, Sungkyunkwan University
Jeong-Hoon Kim: Department of Electrical and Computer Engineering, Sungkyunkwan University
Keun Heo: Department of Electrical and Computer Engineering, Sungkyunkwan University
Jae-Woong Choi: SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University
Changhwan Choi: Division of Materials Science and Engineering, Hanyang University
Saeroonter Oh: Division of Electrical Engineering, Hanyang University
Duygu Kuzum: Department of Electrical and Computer Engineering, University of California, San Diego
H.-S. Philip Wong: Department of Electrical Engineering, Stanford University
Jin-Hong Park: Department of Electrical and Computer Engineering, Sungkyunkwan University

DOI: https://doi.org/10.1038/s41467-018-07572-5
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 8

Abstract

Read online

Artificial neural networks can emulate the human vision because of their spike-based operation by employing memristors as synapses. Here, Seo et al. integrate synaptic and optical sensing functions in a single heterostructure, which enables accurate and energy-efficient recognition of colored patterns.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal