Light-Stimulated Artificial Synapse with Memory and Learning Functions by Utilizing an Aqueous Solution-Processed In2O3/AlLiO Thin-Film Transistor
Source abstract
Abstract
Light-stimulated artificial synapse shows broad application prospects in the field of neuromorphic computing. Implementation of an all-inorganic solid oxide phototransistor will be compatible with future development by providing devices with good stability and large-scale production requirements. Here, an all-inorganic light-stimulated In2O3/AlLiO thin film transistor is fabricated by a fully aqueous solution, whose threshold voltage and subthreshold swing are about 0.47 V and 0.25 V/decade, respectively. The devices can respond to optical signals and successfully simulate some important synaptic characteristics, including the transition from short-term memory to long-term memory. Under the condition of different light intensities, Pavlov’s experiment is simulated to study the behavior of brain-like associative learning. In addition, this work emulates the behavior of photonic potentiation and electric depression, which can realize the erasure of optical information storage through electrical signals and maintain good erasable repeatability. More significantly, a simple fabrication of an In2O3/AlLiO all-inorganic synapse transistor can provide an effective strategy for the artificial synapses driven by optical signals.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Photoreceptor and optogenetics research · Neural Networks and Reservoir Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Material Science and Engineering, Shanghai University, Jiading, Shanghai 201800, People’s Republic of China
Key Laboratory of Advanced Display and System Applications, Ministry of Education, Shanghai University, Shanghai 200072, People’s Republic of China
Funding
Ministry of Science and Technology of the People's Republic of China · Science and Technology Commission of Shanghai Municipality · National Natural Science Foundation of China
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