Periodic structure of memory function in spintronics reservoir with feedback current

Periodic structure of memory function in spintronics reservoir with feedback current
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反馈电流自旋电子学储层记忆函数的周期结构

DOI:
10.1103/physrevresearch.2.023389
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发表时间:
2020
期刊:
arXiv: Mesoscale and Nanoscale Physics
影响因子:
--
通讯作者:
T. Taniguchi
T. Taniguchi
中科院分区:
--
文献类型:
--
作者:
Terufumi Yamaguchi;Nozomi Akashi;S. Tsunegi;H. Kubota;K. Nakajima;T. Taniguchi

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通过求解纳米铁磁体中的涡核动力学,从理论上研究了反馈效应对物理储集层计算的影响。虽然由反馈电流引起的自旋转移力矩使涡旋动力学变得复杂,但我们清楚地表明,反馈效应并不总是有助于增强物理储存库中的记忆功能。当反馈电流的延迟时间不是脉冲宽度的整数倍时,以输入数据与涡核动态响应之间的相关系数为特征的记忆函数变大。另一方面,当延迟时间是脉冲宽度的整数倍时,记忆功能保持较小。结果,观察到关于延迟时间的短期记忆容量的周期性行为,其现象可以归因于虚拟神经元之间通过反馈电流的相关性。
The role of the feedback effect on physical reservoir computing is studied theoretically by solving the vortex-core dynamics in a nanostructured ferromagnet. Although the spin-transfer torque due to the feedback current makes the vortex dynamics complex, it is clarified that the feedback effect does not always contribute to the enhancement of the memory function in a physical reservoir. The memory function, characterized by the correlation coefficient between the input data and the dynamical response of the vortex core, becomes large when the delay time of the feedback current is not an integral multiple of the pulse width. On the other hand, the memory function remains small when the delay time is an integral multiple of the pulse width. As a result, a periodic behavior for the short-term memory capacity is observed with respect to the delay time, the phenomenon of which can be attributed to correlations between the virtual neurons via the feedback current.
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者:
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通讯作者: and H. Kubota
DOI: --
发表时间: 2018
影响因子: 1.5
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DOI: --
发表时间: 2018
期刊:
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影响因子: 64.8
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