Special Issue:
SPECIAL TOPIC — Physics in neuromorphic devices
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SPECIAL TOPIC—Physics in neuromorphic devices |
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Synaptic plasticity and classical conditioning mimicked in single indium-tungsten-oxide based neuromorphic transistor |
Rui Liu(刘锐), Yongli He(何勇礼), Shanshan Jiang(姜珊珊), Li Zhu(朱力), Chunsheng Chen(陈春生), Ying Zhu(祝影), and Qing Wan(万青)† |
School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China |
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Abstract Emulation of synaptic function by ionic/electronic hybrid device is crucial for brain-like computing and neuromorphic systems. Electric-double-layer (EDL) transistors with proton conducting electrolytes as the gate dielectrics provide a prospective approach for such application. Here, artificial synapses based on indium-tungsten-oxide (IWO)-based EDL transistors are proposed, and some important synaptic functions (excitatory post-synaptic current, paired-pulse facilitation, filtering) are emulated. Two types of spike-timing-dependent plasticity (Hebbian STDP and anti-Hebbian STDP) learning rules and multistore memory (sensory memory, short-term memory, and long-term memory) are also mimicked. At last, classical conditioning is successfully demonstrated. Our results indicate that IWO-based neuromorphic transistors are interesting for neuromorphic applications.
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Received: 24 August 2020
Revised: 30 September 2020
Accepted manuscript online: 15 October 2020
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PACS:
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81.05.Gc
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(Amorphous semiconductors)
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85.30.Tv
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(Field effect devices)
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87.19.lg
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(Synapses: chemical and electrical (gap junctions))
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Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 11674162 and 61834001) and the National Key R&D Program of China (Grant Nos. 2018YFA0305800 and 2019YFB2205400). |
Corresponding Authors:
Qing Wan
E-mail: wanqing@nju.edu.cn
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Cite this article:
Rui Liu(刘锐), Yongli He(何勇礼), Shanshan Jiang(姜珊珊), Li Zhu(朱力), Chunsheng Chen(陈春生), Ying Zhu(祝影), and Qing Wan(万青) Synaptic plasticity and classical conditioning mimicked in single indium-tungsten-oxide based neuromorphic transistor 2021 Chin. Phys. B 30 058102
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