突触
材料科学
神经促进
兴奋性突触后电位
突触可塑性
长时程增强
神经形态工程学
神经传递
兴奋性突触
纳米技术
神经科学
人工神经网络
计算机科学
生物
人工智能
生物化学
受体
抑制性突触后电位
作者
Li Zhou,Siwei Yang,Guqiao Ding,Jiaqin Yang,Yi Ren,Shirui Zhang,Jing‐Yu Mao,Yucheng Yang,Ye Zhou,Su‐Ting Han
出处
期刊:Nano Energy
[Elsevier]
日期:2019-04-01
卷期号:58: 293-303
被引量:123
标识
DOI:10.1016/j.nanoen.2019.01.045
摘要
Inspired by the parallel performing of storage and processing information in biological synapse, artificial synapse that can control ionic and protonic currents are ideal means for attracted tremendous attention as a promising option to break the von Neumann bottleneck. Here we demonstrate an artificial synapse with tunable synaptic behavior based on solution-processed two-dimensional (2D) C3N/polyvinylpyrrolidone (PVPy). The proton modulated memristive characteristics of synaptic device are verified by ambient pressure X-ray photoelectron spectroscopy under different H2O gas atmosphere. The highly proton conducting of C3N/PVPy matrix stems from the hydrogen bonding network between C3N and PVPy, as well as the large amount of ordered nitrogen atoms in C3N. The artificial synapse ensure a direct imitation of short-term and long-term plasticity in biological synapses including excitatory post-synaptic current (EPSC), paired-pulse facilitation (PPF), paired-pulse depression (PPD), PPF following PPD and post-tetanic potentiation (PTP). The C3N/PVPy matrix-based memristor which can mimic the synapse cleft based on proton conducting mechanism may find further applications in artificial intelligence.
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