材料科学
神经形态工程学
突触后电流
长时程增强
神经促进
兴奋性突触后电位
晶体管
光电子学
计算机科学
电压
神经科学
电气工程
抑制性突触后电位
人工神经网络
人工智能
生物化学
生物
工程类
受体
化学
作者
Yi Ren,Jia‐Qin Yang,Li Zhou,Jing‐Yu Mao,Shi‐Rui Zhang,Ye Zhou,Su‐Ting Han
标识
DOI:10.1002/adfm.201805599
摘要
Abstract 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 C 60 /poly(methyl methacrylate) (PMMA) hybrid layer for the first time. C 60 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 10 3 , 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 C 60 with low operation voltage and controlled polarity of charge trapping is an important step toward future neuromorphic computing using organic electronics.
科研通智能强力驱动
Strongly Powered by AbleSci AI