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Silicon‐Based Hybrid Optoelectronic Devices with Synaptic Plasticity and Stateful Photoresponse
Author(s) -
Chen Yan,
Wei Qi,
Yin Jiang,
Xia Yidong,
Liu Zhiguo
Publication year - 2018
Publication title -
advanced electronic materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.25
H-Index - 56
ISSN - 2199-160X
DOI - 10.1002/aelm.201800242
Subject(s) - materials science , neuromorphic engineering , stateful firewall , optoelectronics , silicon , computer science , artificial neural network , computer network , machine learning , network packet
Neuromorphic optoelectronic devices with new functionality have attracted much attention since they can be applied in energy‐efficient computing and recognition. Here, a silicon optoelectronic device with a designed configuration resembling the retinal circuitry is reported. This kind of device composed of a silicon photoreceptor and a hafnium metal oxide synapse supports optoelectronic spike‐timing‐dependent plasticity that is manipulated completely by both optical and electrical stimuli. The optoelectronic plasticity allows the lasting modulation of photoresponses by using a transient optoelectronic stimulus. Stateful photoresponses can thus be regulated according to either the illumination intensity or the electrical compliance current.