Synchronization and chaos in a spin-torque oscillator with a perpendicularly magnetized free layer

Yamaguchi, Tadatoshi; Akashi, Nozomi; Nakajima, Kohei; Tsunegi, Sumito; Taniguchi, Tomohiro

doi:10.1103/physrevb.100.224422

Cited by 21 publications

(22 citation statements)

References 65 publications

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“…Neuromorphic devices based on physical reservoir computing frameworks would be an excellent candidate for implementing our scheme (31). Sprintronics devices, for example, have recently been shown to exhibit chaotic dynamics (51,52) and are actively exploited as physical reservoirs (53)(54)(55). We expect that this framework would provide one of the promising application scenarios for real-world implementations of our scheme.…”

Section: Effectiveness and Significancementioning

confidence: 99%

Designing spontaneous behavioral switching via chaotic itinerancy

2020

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Chaotic itinerancy is a frequently observed phenomenon in high-dimensional nonlinear dynamical systems and is characterized by itinerant transitions among multiple quasi-attractors. Several studies have pointed out that high-dimensional activity in animal brains can be observed to exhibit chaotic itinerancy, which is considered to play a critical role in the spontaneous behavior generation of animals. Thus, how to design desired chaotic itinerancy is a topic of great interest, particularly for neurorobotics researchers who wish to understand and implement autonomous behavioral controls. However, it is generally difficult to gain control over high-dimensional nonlinear dynamical systems. In this study, we propose a method for implementing chaotic itinerancy reproducibly in a high-dimensional chaotic neural network. We demonstrate that our method enables us to easily design both the trajectories of quasi-attractors and the transition rules among them simply by adjusting the limited number of system parameters and by using the intrinsic high-dimensional chaos.

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Section: Effectiveness and Significancementioning

confidence: 99%

Designing spontaneous behavioral switching via chaotic itinerancy

2020

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“…Especially, neuromorphic devices based on physical reservoir computing framework would be an excellent candidate for implementing our scheme. Sprintronics devices, for example, are recently shown to exhibit chaotic dynamics [39,40] and are actively exploited as physical reservoirs [41][42][43]. We expect that this framework would provide one of the promising application scenarios for real-world im-plementations of our scheme.…”

Section: Discussionmentioning

confidence: 99%

Designing spontaneous behavioral switching via chaotic itinerancy

Inoue

Nakajima

Kuniyoshi

2020

Preprint

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Chaotic itinerancy is a frequently observed phenomenon in high-dimensional and nonlinear dynamical systems, and it is characterized by the random transitions among multiple quasi-attractors. Several studies have revealed that chaotic itinerancy has been observed in brain activity, and it is considered to play a critical role in the spontaneous, stable behavior generation of animals. Thus, chaotic itinerancy is a topic of great interest, particularly for neurorobotics researchers who wish to understand and implement autonomous behavioral controls for agents. However, it is generally difficult to gain control over high-dimensional nonlinear dynamical systems. Hence, the implementation of chaotic itinerancy has mainly been accomplished heuristically. In this study, we propose a novel way of implementing chaotic itinerancy reproducibly and at will in a generic high-dimensional chaotic system. In particular, we demonstrate that our method enables us to easily design both the trajectories of quasi-attractors and the transition rules among them simply by adjusting the limited number of system parameters and by utilizing the intrinsic high-dimensional chaos. Finally, we quantitatively discuss the validity and scope of application through the results of several numerical experiments.

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“…Recently, many neuromorphic devices have been shown to exhibit chaos (e.g., Ref. [150][151][152]), and it is expected that these chaotic dynamics can be harnessed and exploited as a computational resource based on an RC framework.…”

Section: Diverse Variations Of Reservoir: Toward Exploiting Physical ...mentioning

confidence: 99%

Physical reservoir computing—an introductory perspective

Nakajima

2020

Jpn. J. Appl. Phys.

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288

174

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Understanding the fundamental relationships between physics and its information-processing capability has been an active research topic for many years. Physical reservoir computing is a recently introduced framework that allows one to exploit the complex dynamics of physical systems as information-processing devices. This framework is particularly suited for edge computing devices, in which information processing is incorporated at the edge (e.g., into sensors) in a decentralized manner to reduce the adaptation delay caused by data transmission overhead. This paper aims to illustrate the potentials of the framework using examples from soft robotics and to provide a concise overview focusing on the basic motivations for introducing it, which stem from a number of fields, including machine learning, nonlinear dynamical systems, biological science, materials science, and physics.

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Synchronization and chaos in a spin-torque oscillator with a perpendicularly magnetized free layer

Cited by 21 publications

References 65 publications

Designing spontaneous behavioral switching via chaotic itinerancy

Designing spontaneous behavioral switching via chaotic itinerancy

Designing spontaneous behavioral switching via chaotic itinerancy

Physical reservoir computing—an introductory perspective

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