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Non-associative learning behavior in mixed proton and electron conductor hybrid pseudo-diode
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作者 Zhi Wen Shi Wei Sheng Wang +5 位作者 Ling Ai Yan Li Xin Li Chen Hui Xiao Yu Heng Zeng Li Qiang Zhu 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2023年第29期204-213,共10页
With inherent ionic priorities, mixed ion and electron conductor hybrid devices have been proposed for brain-inspired neuromorphic system applications, demonstrating interesting neuromorphic functions. Here, mixed pro... With inherent ionic priorities, mixed ion and electron conductor hybrid devices have been proposed for brain-inspired neuromorphic system applications, demonstrating interesting neuromorphic functions. Here, mixed proton and electron conductor (MPEC) hybrid oxide neuromorphic transistor is proposed by adopting aqueous solution-processed mesoporous silica coating (MSC)-based electrolyte as gate dielec- tric. With optical and electrical synergetic coupling behaviors, the device demonstrates typical synap- tic responses and transition between short-term plasticity and long-term plasticity. With unique field- configurable proton self-modulation behaviors, a pseudo-diode operation mode is demonstrated on the MPEC hybrid transistor. Moreover, the device demonstrates interesting non-associative learning, including habituation and sensitization behavior. The results show that the proposed MPEC hybrid oxide neuromor- phic transistor has great potential in the field of neuromorphic engineering and would have potential in the bionic visual perception platform . 展开更多
关键词 Mixed proton and electron conductor hybrid Oxide neuromorphic transistors Non-associative learning pseudo-diode
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Multi-terminal pectin/chitosan hybrid electrolyte gated oxide neuromorphic transistor with multi-mode cognitive activities
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作者 Yan Li You Jie Huang +4 位作者 Xin Li Chen Wei Sheng Wang Xin Huang Hui Xiao Li Qiang Zhu 《Frontiers of physics》 SCIE CSCD 2024年第5期117-127,共11页
In order to fulfill the urgent requirements of functional products,circuit integration of different functional devices are commonly utilized.Thus,issues including production cycle,cost,and circuit crosstalk will get s... In order to fulfill the urgent requirements of functional products,circuit integration of different functional devices are commonly utilized.Thus,issues including production cycle,cost,and circuit crosstalk will get serious.Neuromorphic computing aims to break through the bottle neck of von Neumann architectures.Electronic devices with multi-operation modes,especially neuromorphic devices with multi-mode cognitive activities,would provide interesting solutions.Here,pectin/chitosan hybrid electrolyte gated oxide neuromorphic transistor was fabricated.With extremely strong proton related interfacial electric-double-layer coupling,the device can operate at low voltage of below 1 V.The device can also operate at multi-operation mode,including bottom gate mode,coplanar gate and pseudo-diode mode.Interestingly,the artificial synapse can work at low voltage of only 1 mV,exhibiting extremely low energy consumption of~7.8 fJ,good signal-to-noise ratio of~229.6 and sensitivity of~23.6 dB.Both inhibitory and excitatory synaptic responses were mimicked on the pseudo-diode,demonstrating spike rate dependent plasticity activities.Remarkably,a linear classifier is proposed on the oxide neuromorphic transistor under synaptic metaplasticity mechanism.These results suggest great potentials of the oxide neuromorphic devices with multi-mode cognitive activities in neuromorphic platform. 展开更多
关键词 pectin/chitosan hybrid electrolyte pseudo-diode function multi-mode cognitive activities ultrasensitive oxide neuromorphic device linear data classifier
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