An organic terpyridyl-iron polymer based memristor for synaptic plasticity and learning behavior simulation. Issue 30 (7th March 2016)

• Record Type: Journal Article
• Authors: Yang, Xi; Wang, Cheng; Shang, Jie; Zhang, Chaochao; Tan, Hongwei; Yi, Xiaohui; Pan, Liang; Zhang, Wenbin; Fan, Fei; Liu, Yaqing; Chen, Yu; Liu, Gang; Li, Run-Wei
• Is Part Of: RSC advances. Volume 6:Issue 30(2016)
• Page Start: 25179
• Page End: 25184
• Publication Date: 2016-03-07
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/c6ra02915a
• Languages: English
• ISSNs: 2046-2069

Abstract

Abstract : Conductance of the viologen/terpyridyl-iron polymer bilayer structure has been effectively modulated by an electrochemical redox reaction for synaptic emulation. Abstract : Memristors have been extensively studied for nonvolatile memory storage, neuromorphic computing, and logic applications. Particularly, synapse emulation is viewed as a key step to realizing neuromorphic computing, because the biological synapse is the basic unit for learning and memory. In this study, a memristor with the simple structure of Ta/viologen diperchlorate [EV(ClO4 )2 ]/terpyridyl-iron polymer (TPy-Fe)/ITO is fabricated to simulate the functions of the synapse. Essential synaptic plasticity and learning behaviours are emulated by using this memristor, such as spike-timing-dependent plasticity and spike-rate-dependent plasticity. It is demonstrated that the redox between a terpyridyl-iron polymer and viologen species leads to our memristor behavior. Furthermore, the learning behavior depending on different amplitudes of voltage pulses is investigated as well. These demonstrations help pave the way for building bioinspired neuromorphic systems based on memristors.