Litcius/Paper detail

Synergistic Modulation of Synaptic Plasticity in IGZO-Based Photoelectric Neuromorphic TFTs

Li Zhu, Yongli He, Chunsheng Chen, Ying Zhu, Yi Shi, Qing Wan

2021IEEE Transactions on Electron Devices62 citationsDOI

Abstract

Neuromorphic devices are of great significance for next generation energy-efficient brain-like computing and perception. Oxide-based photoelectric neuromorphic transistors are very promising due to the proton-related electric-double-layer (EDL) effect and persistent photoconductivity behavior. In this study, indium-gallium-zinc-oxide (IGZO)-based photoelectric neuromorphic thin-film transistors (TFTs) with tunable synaptic plasticity are proposed. Some important synaptic functions, such as excitatory postsynaptic current, multipulse facilitation, and long-term plasticity, can be effectively tuned by the photoelectric synergistic modulation. More importantly, under the photoelectric synergistic modulation, the temporary short-term memory can be converted into permanent long-term memory. And the voltage coordinated modulation can enhance the image in the pixel and the ability of real-time data processing of the input visual information. Our results are very important for the development of photoelectric neuromorphic devices with configurable dynamic functions.

Topics & Concepts

Neuromorphic engineeringThin-film transistorMaterials scienceOptoelectronicsTransistorPostsynaptic CurrentModulation (music)Photoelectric effectComputer scienceExcitatory postsynaptic potentialNeuroscienceVoltageElectrical engineeringPhysicsArtificial neural networkNanotechnologyArtificial intelligenceEngineeringPsychologyLayer (electronics)Inhibitory postsynaptic potentialAcousticsAdvanced Memory and Neural ComputingCCD and CMOS Imaging SensorsNeural Networks and Reservoir Computing
Synergistic Modulation of Synaptic Plasticity in IGZO-Based Photoelectric Neuromorphic TFTs | Litcius