Related references
Note: Only part of the references are listed.A perspective on physical reservoir computing with nanomagnetic devices
Dan A. Allwood et al.
APPLIED PHYSICS LETTERS (2023)
Enhancing computational performance of a spin-wave reservoir computer with input synchronization
Stuart Watt et al.
JOURNAL OF APPLIED PHYSICS (2021)
Implementing a Magnonic Reservoir Computer Model Based on Time-Delay Multiplexing
Stuart Watt et al.
PHYSICAL REVIEW APPLIED (2021)
Reservoir computing with two-bit input task using dipole-coupled nanomagnet array
Hikaru Nomura et al.
JAPANESE JOURNAL OF APPLIED PHYSICS (2020)
Physical reservoir computing-an introductory perspective
Kohei Nakajima
JAPANESE JOURNAL OF APPLIED PHYSICS (2020)
Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics
P. R. Vlachas et al.
NEURAL NETWORKS (2020)
Designing spontaneous behavioral switching via chaotic itinerancy
Katsuma Inoue et al.
SCIENCE ADVANCES (2020)
Reservoir Computing with Random Skyrmion Textures
D. Pinna et al.
PHYSICAL REVIEW APPLIED (2020)
Neuromorphic spintronics
J. Grollier et al.
NATURE ELECTRONICS (2020)
Recent advances in physical reservoir computing: A review
Gouhei Tanaka et al.
NEURAL NETWORKS (2019)
Physical reservoir computing based on spin torque oscillator with forced synchronization
Sumito Tsunegi et al.
APPLIED PHYSICS LETTERS (2019)
Reservoir computing with dipole-coupled nanomagnets
Hikaru Nomura et al.
JAPANESE JOURNAL OF APPLIED PHYSICS (2019)
Temporal Pattern Recognition with Delayed-Feedback Spin-Torque Nano-Oscillators
M. Riou et al.
PHYSICAL REVIEW APPLIED (2019)
Physical reservoir computing using magnetic skyrmion memristor and spin torque nano-oscillator
Wencong Jiang et al.
APPLIED PHYSICS LETTERS (2019)
Reservoir computing with the frequency, phase, and amplitude of spin-torque nano-oscillators
D. Markovic et al.
APPLIED PHYSICS LETTERS (2019)
Potential implementation of reservoir computing models based on magnetic skyrmions
George Bourianoff et al.
AIP ADVANCES (2018)
Magnetic Skyrmion as a Nonlinear Resistive Element: A Potential Building Block for Reservoir Computing
Diana Prychynenko et al.
PHYSICAL REVIEW APPLIED (2018)
Reservoir Computing With Spin Waves Excited in a Garnet Film
Ryosho Nakane et al.
IEEE ACCESS (2018)
Macromagnetic Simulation for Reservoir Computing Utilizing Spin Dynamics in Magnetic Tunnel Junctions
Taishi Furuta et al.
PHYSICAL REVIEW APPLIED (2018)
Evaluation of memory capacity of spin torque oscillator for recurrent neural networks
Sumito Tsunegi et al.
JAPANESE JOURNAL OF APPLIED PHYSICS (2018)
On developing theory of reservoir computing for sensing applications: the state weaving environment echo tracker (SWEET) algorithm
Zoran Konkoli
INTERNATIONAL JOURNAL OF PARALLEL EMERGENT AND DISTRIBUTED SYSTEMS (2018)
On using reservoir computing for sensing applications: exploring environment-sensitive memristor networks
Vasileios Athanasiou et al.
INTERNATIONAL JOURNAL OF PARALLEL EMERGENT AND DISTRIBUTED SYSTEMS (2018)
Neuromorphic computing with nanoscale spintronic oscillators
Jacob Torrejon et al.
NATURE (2017)
Laser dynamical reservoir computing with consistency: an approach of a chaos mask signal
Joma Nakayama et al.
OPTICS EXPRESS (2016)
Information processing using a single dynamical node as complex system
L. Appeltant et al.
NATURE COMMUNICATIONS (2011)
A microwave nonlinear phase shifter
Alexey B. Ustinov et al.
APPLIED PHYSICS LETTERS (2008)
An experimental unification of reservoir computing methods
D. Verstraeten et al.
NEURAL NETWORKS (2007)
Power-dependent switching of microwave signals in a ferrite-film nonlinear directional coupler
Alexey B. Ustinov et al.
APPLIED PHYSICS LETTERS (2006)
Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication
H Jaeger et al.
SCIENCE (2004)
Nonlinear damping of high-power magnetostatic waves in yttrium-iron-garnet films
MM Scott et al.
JOURNAL OF APPLIED PHYSICS (2004)