4.6 Article

Aqueous solution processed mesoporous silica-gated photo-perception neuromorphic transistor

Journal

JOURNAL OF MATERIALS SCIENCE
Volume 56, Issue 6, Pages 4316-4327

Publisher

SPRINGER
DOI: 10.1007/s10853-020-05560-z

Keywords

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Funding

  1. National Natural Science Foundation of China [51972316]
  2. Zhejiang Provincial Natural Science Foundation of China [LR18F040002, LY21F040007]
  3. Open Project of State Key Laboratory of ASIC and System [2019KF006]
  4. Jiangsu Province Cultivation base for State Key Laboratory of Photovoltaic Science and Technology [SKLPST 201906]

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The study proposes a new type of photo-perception neuromorphic transistor based on aqueous solution-processed mesoporous silica coating, showing good electrical performance and the ability to mimic 'selective potentiation and depression' behaviors. Additionally, the transistor exhibits synergistic optical and electrical response behaviors, mimicking neurological behavior of conditioned taste aversion learning. The single photo-perception neuromorphic transistor integrates perception and neuromorphic algorithm functions, and has potential applications in artificial perception learning systems.
Our body is a multiple perception learning system. Bionic application of perception cognitive functions based on neuromorphic electronics would endow artificial intelligence new intension. In particular, electrolyte-gated transistors have been suggested for neuromorphic platform applications. Due to the fundamental limitations for ionic liquid and ionic gel-based electrolyte, it would be interesting to obtain solid-state electrolytes through a vacuum free system. Thus, in the present work, a simple aqueous solution-processed mesoporous silica coating-gated oxide photo-perception neuromorphic transistors have been proposed. The neuromorphic transistors exhibit good electrical performances. A resistor-loaded inverter is built, exhibiting typical inverter operation at low working voltage. 'Selective potentiation and depression' behaviors have been mimicked on the neuromorphic transistor. In addition, the proposed neuromorphic transistor shows optical and electrical synergic response behaviors. Neurological behavior of conditioned taste aversion learning has been mimicked. Thus, the single photo-perception neuromorphic transistor could integrate the functions of perception and neuromorphic algorithm. The proposed photo-perception neuromorphic transistors could have potentials in artificial perception learning systems.

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