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Machine learning based on reservoir computing with time-delayed optoelectronic and photonic systems
YK Chembo - Chaos: An Interdisciplinary Journal of Nonlinear …, 2020 - pubs.aip.org
The concept of reservoir computing emerged from a specific machine learning paradigm
characterized by a three-layered architecture (input, reservoir, and output), where only the …
characterized by a three-layered architecture (input, reservoir, and output), where only the …
Chaos in time delay systems, an educational review
H Wernecke, B Sándor, C Gros - Physics Reports, 2019 - Elsevier
The time needed to exchange information in the physical world induces a delay term when
the respective system is modeled by differential equations. Time delays are hence …
the respective system is modeled by differential equations. Time delays are hence …
Anticipating synchronization with machine learning
In realistic systems of coupled oscillators, it is desired to predict the onset of synchronization
where the system equations are unknown, raising the need to develop a prediction …
where the system equations are unknown, raising the need to develop a prediction …
[HTML][HTML] Experimental observation of chimera and cluster states in a minimal globally coupled network
A “chimera state” is a dynamical pattern that occurs in a network of coupled identical
oscillators when the symmetry of the oscillator population is broken into synchronous and …
oscillators when the symmetry of the oscillator population is broken into synchronous and …
Delayed dynamical systems: networks, chimeras and reservoir computing
We present a systematic approach to reveal the correspondence between time delay
dynamics and networks of coupled oscillators. After early demonstrations of the usefulness …
dynamics and networks of coupled oscillators. After early demonstrations of the usefulness …
Cluster synchronization of coupled semiconductor lasers network with complex topology
The cluster synchronization of mutually-coupled semiconductor lasers (SLs) network with
complex topology is theoretically and numerically investigated, in which stable zero-lag …
complex topology is theoretically and numerically investigated, in which stable zero-lag …
Phase-lag synchronization in networks of coupled chemical oscillators
Chemical oscillators with a broad frequency distribution are photochemically coupled in
network topologies. Experiments and simulations show that the network synchronization …
network topologies. Experiments and simulations show that the network synchronization …
Analyzing synchronized clusters in neuron networks
The presence of synchronized clusters in neuron networks is a hallmark of information
transmission and processing. Common approaches to study cluster synchronization in …
transmission and processing. Common approaches to study cluster synchronization in …
Cluster Synchronization in Multilayer Networks: A Fully Analog Experiment with Oscillators with Physically Dissimilar Coupling
We investigate cluster synchronization in experiments with a multilayer network of electronic
Colpitts oscillators, specifically a network with two interaction layers. We observe and …
Colpitts oscillators, specifically a network with two interaction layers. We observe and …
Laminar chaos in experiments: Nonlinear systems with time-varying delays and noise
A new type of dynamics called laminar chaos was recently discovered through a theoretical
analysis of a scalar delay differential equation with time-varying delay. Laminar chaos is a …
analysis of a scalar delay differential equation with time-varying delay. Laminar chaos is a …