Back to Search Start Over

Broadband Optoelectronic Synapse Enables Compact Monolithic Neuromorphic Machine Vision for Information Processing.

Authors :
Guo, Tao
Zhang, Baizhou
Wang, Xiyang
Xiao, Yi
Sun, Bai
Zhou, Y. Norman
Wu, Yimin A.
Source :
Advanced Functional Materials; Dec2023, Vol. 33 Issue 49, p1-14, 14p
Publication Year :
2023

Abstract

Traditional machine vision is suffering from redundant sensing data, bulky structures, and high energy consumption. Biological‐inspired neuromorphic systems are promising for compact and energy‐efficient machine vision. Multifunctional optoelectronics enabling multispectrum sensitivity for broadband image sensing, feature extraction, and neuromorphic computing are vital for machine visions. Here, an optoelectronic synapse is designed that enables image sensing, convolutional processing, and computing. Multiple synaptic plasticity triggered by photons can implement photonic computing and information transmission. Convolutional processing is realized by ultralow energy kernel generators fully controlled by photons. Meanwhile, the device shows the ability of conductance modulations under electronic stimulations that implement neuromorphic computing. For the first time, this two‐terminal broadband optoelectronic synapse enables front‐end retinomorphic image sensing, convolutional processing, and back‐end neuromorphic computing. The integrated photonic information encryption, convolutional image preprocessing, and neuromorphic computing capabilities are promising for compact monolithic neuromorphic machine vision systems. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1616301X
Volume :
33
Issue :
49
Database :
Complementary Index
Journal :
Advanced Functional Materials
Publication Type :
Academic Journal
Accession number :
173974986
Full Text :
https://doi.org/10.1002/adfm.202303879