Motivated by the biological neuromorphic system with high degree of connectivity to process huge amounts of information, transistor‐based artificial synapses are expected to pave a way to overcome the von Neumann bottleneck for neuromorphic computing paradigm. Here, artificial flexible organic synaptic transistors capable of concurrently exhibiting signal transmission and learning functions are verified using C₆₀/poly(methyl methacrylate) (PMMA) hybrid layer for the first time. C₆₀ trapping sites are doped in PMMA by facile solution process to form the hybrid structure. The flexible synaptic transistor exhibits a memory window of 2.95 V, a current_on/current_off ratio greater than 10³, program/erase endurance cycle over 500 times. In addition, comprehensive synaptic functions of biosynapse including the excitatory postsynaptic current with different duration time, pulse amplitudes and temperatures, paired‐pulse facilitation/depression, potentiation and depression of the channel conductance modulation, transition from short‐term potentiation to long‐term potentiation, and repetitive learning processes are successfully emulated in this synaptic three‐terminal device. The realization of synaptic devices based on C₆₀ with low operation voltage and controlled polarity of charge trapping is an important step toward future neuromorphic computing using organic electronics.

中文翻译：

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通过富勒烯复合物中电荷俘获的极性控制的门可调突触可塑性

基于具有高度连接性的生物神经形态系统来处理大量信息，基于晶体管的人工突触有望为克服神经形态计算范式的冯·诺依曼瓶颈铺平道路。在这里，首次使用C ₆₀ /聚（甲基丙烯酸甲酯）（PMMA）混合层来验证能够同时显示信号传输和学习功能的人造柔性有机突触晶体管。通过简便的溶液工艺将C _60的俘获位点掺杂到PMMA中以形成杂化结构。柔性突触晶体管的存储窗口为2.95 V，电流_开/_关比大于10 ³，程序/擦除耐久性周期超过500次。此外，生物突触的全面突触功能包括具有不同持续时间，脉冲幅度和温度的兴奋性突触后电流，成对脉冲促进/抑制，通道电导调制的增强和抑制，从短期增强到长期增强的过渡，并且在此突触三端设备中成功模拟了重复学习过程。具有低工作电压和受控电荷陷阱极性的基于C ₆₀的突触设备的实现，是未来使用有机电子技术进行神经形态计算的重要一步。