BROWSE

Related Scientist

NANOMAT's photo.

NANOMAT
나노입자 연구단
more info

ITEM VIEW & DOWNLOAD

Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system

Cited 0 time in webofscience Cited 0 time in scopus
9 Viewed 0 Downloaded
Title
Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system
Author(s)
Changsoon Choi; Leem, J; Min Sung Kim; Taqieddin, A.; Cho, C.; Kyoung Won Cho; Lee, G.J.; Hyojin Seung; Bae, H.J.; Song, Y.M.; Taeghwan Hyeon; Aluru, N.R.; Nam, S.W.; Dae-Hyeong Kim
Subject
FUTURE
Publication Date
2020-11-23
Journal
NATURE COMMUNICATIONS, v.11, no.1, pp.5934
Publisher
NATURE RESEARCH
Abstract
Conventional imaging and recognition systems require an extensive amount of data storage, pre-processing, and chip-to-chip communications as well as aberration-proof light focusing with multiple lenses for recognizing an object from massive optical inputs. This is because separate chips (i.e., flat image sensor array, memory device, and CPU) in conjunction with complicated optics should capture, store, and process massive image information independently. In contrast, human vision employs a highly efficient imaging and recognition process. Here, inspired by the human visual recognition system, we present a novel imaging device for efficient image acquisition and data pre-processing by conferring the neuromorphic data processing function on a curved image sensor array. The curved neuromorphic image sensor array is based on a heterostructure of MoS2 and poly(1,3,5-trimethyl-1,3,5-trivinyl cyclotrisiloxane). The curved neuromorphic image sensor array features photon-triggered synaptic plasticity owing to its quasi-linear time-dependent photocurrent generation and prolonged photocurrent decay, originated from charge trapping in the MoS2-organic vertical stack. The curved neuromorphic image sensor array integrated with a plano-convex lens derives a pre-processed image from a set of noisy optical inputs without redundant data storage, processing, and communications as well as without complex optics. The proposed imaging device can substantially improve efficiency of the image acquisition and recognition process, a step forward to the next generation machine vision. Designing efficient bio-inspired visual recognition system remains a challenge. Here the authors present a curved neuromorphic image sensor array based on a heterostructure of MoS2 and pV3D3 integrated with a plano-convex lens for efficient image acquisition and data pre-processing.
URI
https://pr.ibs.re.kr/handle/8788114/7546
DOI
10.1038/s41467-020-19806-6
ISSN
2041-1723
Appears in Collections:
Center for Nanoparticle Research(나노입자 연구단) > 1. Journal Papers (저널논문)
Files in This Item:
There are no files associated with this item.

qrcode

  • facebook

    twitter

  • Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse