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Switching dynamics and computing applications of memristors: An overview

机译:忆阻器的动力学和计算应用切换:概述

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Memristors have acquired a lot of attention due to their potential applications in nonvolatile memory, reconfigurable logic, analog circuits and neuromorphic computing etc., and important progress has been made recently. Here we first shed light on the switching dynamics of oxide based memristors by electrostatic force microscopy (EFM). We further demonstrate a new type of vertical 3-terminal oxide based memristive device capable of implementing heterosynaptic plasticity. To address the long-standing issue of device variations in memristors limiting the construction of neuromorphic computing systems, we propose a fuzzy restricted Boltzmann machine (FRBM) network that can effectively tolerate device stochasticity. Finally, we show that nonvolatile Boolean logic can also be achieved in the same 3-terminal heterosynaptic devices in an efficient manner, compared with conventional 2-terminal memristors.
机译:忆阻器由于其在非易失性存储器,可重构逻辑,模拟电路和神经形态计算等方面的潜在应用而引起了广泛关注,并且近来已取得重要进展。在这里,我们首先通过静电力显微镜(EFM)揭示了基于氧化物的忆阻器的开关动力学。我们进一步演示了一种新型的基于垂直3端氧化物的忆阻器件,能够实现异突触可塑性。为了解决忆阻器中设备变化的长期问题,限制了神经形态计算系统的构建,我们提出了一种模糊受限的玻尔兹曼机(FRBM)网络,该网络可以有效地容忍设备的随机性。最后,我们证明与传统的2端忆阻器相比,在相同的3端异质突触设备中也可以有效地实现非易失性布尔逻辑。

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