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Fabrication of a Solution-gated Indium-Tin-Oxide-based One-piece Transistor Enabling Sensitive Biosensing
Published on: August 29, 2025
747
Activity Dependent Synaptic Plasticity Mimicked on Indium-Tin-Oxide Electric-Double-Layer Transistor
Juan Wen1,2,3, Li Qiang Zhu1,3, Yang Ming Fu1,3
1Key Laboratory of Graphene Technologies and Applications of Zhejiang Province, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences , Ningbo 315201, Zhejiang, People's Republic of China.
ACS Applied Materials & Interfaces
|October 5, 2017
Summary
Researchers developed novel proton conductor gated indium-tin-oxide transistors. These devices exhibit tunable synaptic plasticity for neuromorphic computing applications.
Area of Science:
- Solid-state materials science
- Neuromorphic engineering
- Condensed matter physics
Background:
- Ion coupling offers a method to tune electrical properties in solid-state materials.
- Protonic/electronic coupled devices are emerging for advanced electronic applications.
Purpose of the Study:
- To fabricate and characterize phosphorosilicate glass (PSG)-based electrolyte gated indium-tin-oxide electric-double-layer (EDL) transistors.
- To investigate the potential of these transistors as synaptic building blocks for neuromorphic systems.
Main Methods:
- Fabrication of EDL transistors using phosphorosilicate glass electrolyte and indium-tin-oxide channel.
- Utilizing strong proton gating behavior for enhanced transistor performance.
- Employing interfacial electrochemical doping to modulate channel conductance and synaptic weights.
Main Results:
- The fabricated oxide EDL transistors demonstrated good electrical performance attributed to effective proton gating.
- Channel conductance was successfully regulated to different levels, simulating distinct initial synaptic weights.
- Demonstrated activity-dependent synaptic responses including excitatory postsynaptic current and paired-pulse facilitation.
Conclusions:
- Proton conductor gated oxide EDL synaptic transistors exhibit tunable, activity-dependent synaptic plasticity.
- These transistors show promise as fundamental components for future neuromorphic computing systems.
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