582 citations · 1.3k across the 33 of their papers we have counts for
33 papers
Ensemble Reservoir Computing for Physical Systems
Yuma Nakamura, Tomoyuki Kubota, Yusuke Imai +3
Physical computing exploits unconventional physical substrates to overcome limitations such as the high energy consumption inherent in digital computation. However, intrinsic noise…
Controlling encirclement of an exceptional point using coupled spintronic nano-oscillators
K. Ho, S. Perna, S. Wittrock +8
Exceptional points (EPs), branch singularities parameter space of non-Hermitian eigenvalue manifolds, display unique topological phenomena linked to eigenvalue and eigenvector swit…
Reservoir Computing Generalized
Tomoyuki Kubota, Yusuke Imai, Sumito Tsunegi +1
A physical neural network (PNN) has both the strong potential to solve machine learning tasks and intrinsic physical properties, such as high-speed computation and energy efficienc…
Input-driven chaotic dynamics in vortex spin-torque oscillator
Yusuke Imai, Kohei Nakajima, Sumito Tsunegi +1
A new research topic in spintronics relating to the operation principles of brain-inspired computing is input-driven magnetization dynamics in nanomagnet. In this paper, the magnet…
Spintronic reservoir computing without driving current or magnetic field
Tomohiro Taniguchi, Amon Ogihara, Yasuhiro Utsumi +1
Recent studies have shown that nonlinear magnetization dynamics excited in nanostructured ferromagnets are applicable to brain-inspired computing such as physical reservoir computi…
Towards mutual synchronization of serially connected Spin Torque Oscillators based on magnetic tunnel junctions
Piotr Rzeszut, Jakub Mojsiejuk, Witold Skowroński +4
Multiple neuromorphic applications require the tuning of two or more devices to a common signal. Various types of neuromorphic computation can be realized using spintronic oscillat…
Computational capability for physical reservoir computing using a spin-torque oscillator with two free layers
Terufumi Yamaguchi, Sumito Tsunegi, Kohei Nakajima +1
A numerical analysis on the computational capability of physical reservoir computing utilizing a spin-torque oscillator with two free layers is reported. Conventional spintronics d…
Spin-torque Dynamics for Noise Reduction in Vortex-based Sensors
Mafalda Jotta Garcia, Julien Moulin, Steffen Wittrock +12
Performance of magnetoresistive sensors is today mainly limited by their 1/f low-frequency noise. Here, we study this noise component in vortex-based TMR sensors. We compare the no…
Step-like dependence of memory function on pulse width in spintronics reservoir computing
Terufumi Yamaguchi, Nozomi Akashi, Kohei Nakajima +3
Physical reservoir computing is a type of recurrent neural network that applies the dynamical response from physical systems to information processing. However, the relation betwee…
Periodic structure of memory function in spintronics reservoir with feedback current
Terufumi Yamaguchi, Nozomi Akashi, Sumito Tsunegi +3
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-tran…
Influence of flicker noise and nonlinearity on the frequency spectrum of spin torque nano-oscillators
Steffen Wittrock, Philippe Talatchian, Sumito Tsunegi +12
The correlation of phase fluctuations in any type of oscillator fundamentally defines its spectral shape. However, in nonlinear oscillators, such as spin torque nano oscillators, t…
Phase estimation of spin-torque oscillator by nonlinear spin-torque diode effect
Terufumi Yamaguchi, Sumito Tsunegi, Tomohiro Taniguchi
A theoretical analysis is developed on spin-torque diode effect in nonlinear region. An analytical solution of the diode voltage generated from spin-torque oscillator by the rectif…
Binding events through the mutual synchronization of spintronic nano-neurons
Miguel Romera, Philippe Talatchian, Sumito Tsunegi +9
The brain naturally binds events from different sources in unique concepts. It is hypothesized that this process occurs through the transient mutual synchronization of neurons loca…
Synchronization and chaos in a spin-torque oscillator with a perpendicularly magnetized free layer
Terufumi Yamaguchi, Nozomi Akashi, Kohei Naka jima +3
Synchronization and chaos caused by alternating current and microwave field in a spin torque oscillator consisting of a perpendicularly magnetized free layer and an in-plane magnet…
Low offset frequency flicker noise in spin torque vortex oscillators
Steffen Wittrock, Sumito Tsunegi, Kay Yakushiji +9
Low frequency noise close to the carrier remains little explored in spin torque nano oscillators. However, it is crucial to investigate as it limits the oscillator's frequency stab…
Role of non-linear data processing on speech recognition task in the framework of reservoir computing
Flavio Abreu Araujo, Mathieu Riou, Jacob Torrejon +8
The reservoir computing neural network architecture is widely used to test hardware systems for neuromorphic computing. One of the preferred tasks for bench-marking such devices is…
Temporal pattern recognition with delayed feedback spin-torque nano-oscillators
M. Riou, J. Torrejon, B. Garitaine +11
The recent demonstration of neuromorphic computing with spin-torque nano-oscillators has opened a path to energy efficient data processing. The success of this demonstration hinged…
Microwave neural processing and broadcasting with spintronic nano-oscillators
P. Talatchian, M. Romera, S. Tsunegi +14
Can we build small neuromorphic chips capable of training deep networks with billions of parameters? This challenge requires hardware neurons and synapses with nanometric dimension…
Neuromorphic Computing through Time-Multiplexing with a Spin-Torque Nano-Oscillator
M. Riou, F. Abreu Araujo, J. Torrejon +11
Fabricating powerful neuromorphic chips the size of a thumb requires miniaturizing their basic units: synapses and neurons. The challenge for neurons is to scale them down to submi…
Macromagnetic simulation for reservoir computing utilizing spin dynamics in magnetic tunnel junctions
Taishi Furuta, Keisuke Fujii, Kohei Nakajima +4
The figures-of-merit for reservoir computing (RC), using spintronics devices called magnetic tunnel junctions (MTJs), are evaluated. RC is a type of recurrent neural network. The i…
Mutual synchronization of spin-torque oscillators consisting of perpendicularly magnetized free layers and in-plane magnetized pinned layers
Tomohiro Taniguchi, Sumito Tsunegi, Hitoshi Kubota
A mutual synchronization of spin-torque oscillators coupled through current injection is studied theoretically. Models of electrical coupling in parallel and series circuits are pr…
Vowel recognition with four coupled spin-torque nano-oscillators
Miguel Romera, Philippe Talatchian, Sumito Tsunegi +14
Substantial evidence indicates that the brain uses principles of non-linear dynamics in neural processes, providing inspiration for computing with nanoelectronic devices. However,…
Relaxation time and critical slowing down of a spin-torque oscillator
Tomohiro Taniguchi, Takahiro Ito, Sumito Tsunegi +2
The relaxation phenomena of spin-torque oscillators consisting of nanostructured ferromagnets are interesting research targets in magnetism. A theoretical study on the relaxation t…
Neuromorphic computing with nanoscale spintronic oscillators
Jacob Torrejon, Mathieu Riou, Flavio Abreu Araujo +10
Neurons in the brain behave as non-linear oscillators, which develop rhythmic activity and interact to process information. Taking inspiration from this behavior to realize high de…