Attractor reconstruction by machine learning

Observing spatio-temporal dynamics of excitable media using reservoir computing

(2018) Roland S. Zimmermann et al.   CHAOS

Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model

(2018) Jaideep Pathak et al.   CHAOS

Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks

(2018) Pantelis R. Vlachas et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

High-Speed Photonic Reservoir Computing Using a Time-Delay-Based Architecture: Million Words per Second Classification

(2017) Laurent Larger et al.   Physical Review X

Deep learning

(2015) Yann LeCun et al.   NATURE

Reservoir computing with a single time-delay autonomous Boolean node

(2015) Nicholas D. Haynes et al.   PHYSICAL REVIEW E

Re-visiting the echo state property

(2012) Izzet B. Yildiz et al.   NEURAL NETWORKS

Information processing using a single dynamical node as complex system

(2011) L. Appeltant et al.   Nature Communications

A comparative study of Reservoir Computing strategies for monthly time series prediction

(2010) F. Wyffels et al.   NEUROCOMPUTING

Generating Coherent Patterns of Activity from Chaotic Neural Networks

(2009) David Sussillo et al.   NEURON