Optoelectronic resistive random access memory for neuromorphic vision sensors

By F. Zhou, Zheng Zhou, Jiewei Chen, Tsz Hin Choy, Jingli Wang, Ning Zhang, Ziyuan Lin, Shimeng Yu, Jinfeng Kang, H. Philip Wong and 1 more. Nature Nanotechnology, 2019

1,112 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/96820a10e7f49faf465bbe0ad79590764736e35c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Weida Hu
2. Feng Miao
3. Takashi Taniguchi
4. Wenhao Song
5. Zhongrui Wang

Citations in the corpus

• Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor (2020, background): “Alternative to these conventional technologies, optoelectronic resistive random access memory synaptic devices allow for achieving the functions of image sensing and preprocessing as well as memory (13), showing promise in reducing the complex circuitry for artificial visual system.”
• In-sensor reservoir computing for language learning via two-dimensional memristors (2021, background): “Accordingly, memristors based on novel nanomaterials or hybrid materials ( 19 – 31 ) that offer different degrees of plasticity by means of either electrical or optical signals have been reported.”
• All-in-one two-dimensional retinomorphic hardware device for motion detection and recognition (2021, background): “Currently, retina-inspired vision sensors are emerging 7,8 , with functional materials ranging from memristive oxides 9 to two-dimensional (2D) materials and their heterostructures 5,10 .”