296 citations · 883 across the 13 of their papers we have counts for
13 papers
Spatial Analysis of Physical Reservoir Computers
Jake Love, Jeroen Mulkers, Robin Msiska +3
Physical reservoir computing is a computational framework that implements spatiotemporal information processing directly within physical systems. By exciting nonlinear dynamical sy…
Reservoir Computing with Random Skyrmion Textures
Daniele Pinna, George Bourianoff, Karin Everschor-Sitte
The Reservoir Computing (RC) paradigm posits that sufficiently complex physical systems can be used to massively simplify pattern recognition tasks and nonlinear signal prediction.…
Skyrmion nucleation via localized spin current injection in confined nanowire geometry in low chirality magnetic materials
Sourav Dutta, Dmitri E. Nikonov, George Bourianoff +3
Magnetic skyrmions have been the focus of intense research with promising applications in memory, logic and interconnect technology. Several schemes have been recently proposed and…
Potential implementation of Reservoir Computing models based on magnetic skyrmions
George Bourianoff, Daniele Pinna, Matthias Sitte +1
Reservoir Computing is a type of recursive neural network commonly used for recognizing and predicting spatio-temporal events relying on a complex hierarchy of nested feedback loop…
A magnetic skyrmion as a non-linear resistive element - a potential building block for reservoir computing
Diana Prychynenko, Matthias Sitte, Kai Litzius +5
Inspired by the human brain, there is a strong effort to find alternative models of information processing capable of imitating the high energy efficiency of neuromorphic informati…
Convolutional Networks for Image Processing by Coupled Oscillator Arrays
Dmitri E. Nikonov, Ian A. Young, George I. Bourianoff
A coupled oscillator array is shown to approximate convolutions with Gabor filters for image processing tasks. Pixelated image fragments and filter functions are converted to volta…