Litcius/Paper detail

Optically Stimulated Synaptic Devices Based on the Hybrid Structure of Silicon Nanomembrane and Perovskite

Lei Yin, Wen Huang, Rulei Xiao, Wenbing Peng, Yiyue Zhu, Yiqiang Zhang, Xiaodong Pi, Deren Yang

2020Nano Letters213 citationsDOI

Abstract

) is exploited to form a hybrid structure with Si NM. We demonstrate that synaptic transistors based on the hybrid structure are very sensitive to optical stimulation with low energy consumption. Synaptic functionalities such as excitatory post-synaptic current (EPSC), paired-pulse facilitation, and transition from short-term memory to long-term memory (LTM) are all successfully mimicked by using these optically stimulated synaptic transistors. The backgate-enabled tunability of the EPSC of these devices further leads to the LTM-based mimicking of visual learning and memory processes under different mood states. This work contributes to the development of Si-based optoelectronic synaptic devices for neuromorphic computing.

Topics & Concepts

Neuromorphic engineeringMaterials sciencePerovskite (structure)OptoelectronicsExcitatory postsynaptic potentialTransistorSiliconSynaptic weightNeural facilitationNanotechnologyComputer scienceArtificial neural networkVoltageNeuroscienceChemistryElectrical engineeringInhibitory postsynaptic potentialCrystallographyBiologyEngineeringMachine learningAdvanced Memory and Neural ComputingPhotoreceptor and optogenetics researchNeural Networks and Reservoir Computing
Optically Stimulated Synaptic Devices Based on the Hybrid Structure of Silicon Nanomembrane and Perovskite | Litcius