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Gate‐Tunable Synaptic Plasticity through Controlled Polarity of Charge Trapping in Fullerene Composites
Author(s) -
Ren Yi,
Yang JiaQin,
Zhou Li,
Mao JingYu,
Zhang ShiRui,
Zhou Ye,
Han SuTing
Publication year - 2018
Publication title -
advanced functional materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.069
H-Index - 322
eISSN - 1616-3028
pISSN - 1616-301X
DOI - 10.1002/adfm.201805599
Subject(s) - materials science , neuromorphic engineering , postsynaptic current , long term potentiation , neural facilitation , excitatory postsynaptic potential , transistor , optoelectronics , computer science , voltage , neuroscience , electrical engineering , inhibitory postsynaptic potential , artificial neural network , artificial intelligence , biochemistry , chemistry , receptor , biology , engineering
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.