4.6 Article

Sputtered Electrolyte-Gated Transistor with Modulated Metaplasticity Behaviors

期刊

ADVANCED ELECTRONIC MATERIALS
卷 8, 期 10, 页码 -

出版社

WILEY
DOI: 10.1002/aelm.202200463

关键词

electrolyte-gated transistors; history-dependent; metaplasticity; synaptic transistors

资金

  1. North-West Nanoscience Doctoral Training Center, EPSRC [EP/N021258/1, EP/G03737X/1, EP/L01548X/1]
  2. Royal Society [IEC\R2\170155, NA170415]
  3. National Key Research and Development Program of China [2016YFA0301200, 2016YFA0201800]
  4. National Natural Science Foundation of China [11374185, 11304180]
  5. Shandong Natural Science Foundation of China [ZR2021QE148, 2022HWYQ-060]
  6. Guangdong Basic and Applied Basic Research Foundation [2022A1515011473]
  7. Olle Engkvist grant [211-0068]
  8. Qilu Young Scholar Program of Shandong University [11500082063141]

向作者/读者索取更多资源

Electrolyte-gated transistors have shown promise for neuromorphic applications, and can mimic synaptic plasticity as well as synaptic metaplasticity behaviors. In this study, indium-gallium-zinc-oxide thin-film transistors gated with SiO2 electrolytes were fabricated and successfully replicated spiking-width-dependent and spiking-height-dependent metaplasticity behaviors. A physical model based on electric-double-layer coupling, RC circuit theory, and stretched-exponential diffusion was proposed and fit well with the experimental data. Additionally, the Bienenstock, Cooper, and Munro learning rule, which describes threshold-tunable and spiking-rate-dependent plasticity behaviors, was successfully emulated.
Electrolyte-gated transistors have been proposed as promising candidates for neuromorphic applications. Synaptic plasticity behaviors and most recently synaptic metaplasticity or plasticity of plasticity behaviors have been mimicked on electrolyte-gated transistors. In this work, indium-gallium-zinc-oxide thin-film transistors gated with sputtered SiO2 electrolytes are fabricated. Both spiking-width-dependent and spiking-height-dependent metaplasticity behaviors are successfully mimicked. The effects are modulated by the drain voltage bias. A physical model based on the electric-double-layer coupling, the RC circuit theory, and the stretched-exponential diffusion is proposed for the metaplasticity behaviors. The experiment data have been well fitted by the proposed model. Meanwhile, the Bienenstock, Cooper, and Munro learning rule, which describes the threshold-tunable, spiking-rate-dependent plasticity behaviors, is also successfully emulated, providing insight into the synaptic metaplasticity behaviors in electrolyte-gated synaptic transistors.

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