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TaOx based memristors with recessed bottom electrodes and built-in ion concentration gradient as electronic synapses

机译:基于Taox基忆物,具有嵌入的底部电极和内置离子浓度梯度作为电子突触

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Inspired by the computing architecture of human brain, neuromorphic computing promises massively parallel, energy efficient and fault tolerant computation compared with conventional von Neumann approaches. In order to achieve this ambitious goal, one of the crucial tasks is to make devices that can emulate the functions of biological synapses at the physical level. Here we fabricated a novel Pt/TaO/Ta memristor with recessed Ta bottom electrodes, where the TaO film was formed by thermal oxidation of the bottom electrode and thus had a constantly ascending concentration of oxygen vacancies from the Pt/TaO interface to the TaO/Ta interface. Such cell geometry and ion distribution profile gave rise to highly incremental and uniform resistive switching that emulated the potentiation or depression process of synapses. Furthermore, important synaptic learning rules, such as spike timing dependent plasticity, could also be implemented by these devices, making them well suited for electronic synapses in neuromorphic systems.
机译:灵感来自人类脑的计算架构,与传统的von neumann方法相比,神经形态计算有望,与传统的von neumann方法相比,有众多平行,节能和容错计算。为了实现这一雄心勃勃的目标,其中一个关键任务是制造可以在物理级别模拟生物突触功能的设备。在这里,我们制造了一种具有凹陷Ta底部电极的新型Pt / Tao / Ta忆阻器,其中通过底电极的热氧化形成了Tao膜,因此从Pt / Tao接口与TAO的持续升高的氧空位浓度为TAO / TA接口。这种电池几何形状和离子分布曲线产生高度增量和均匀的电阻切换,其仿真突触的增强或凹陷过程。此外,还可以由这些装置实现的重要突触学习规则,例如尖峰定时依赖性可塑性,使得它们适用于神经形态系统中的电子突触。

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