Using Machine Learning to Replicate Chaotic Attractors and Calculate Lyapunov Exponents from Data

Frequency and Phase Synchronization in Large Groups: Low Dimensional Description of Synchronized Clapping, Firefly Flashing, and Cricket Chirping

Reservoir Observers: Model-Free Inference of Unmeasured Variables in Chaotic Systems

Experiments with Arbitrary Networks in Time-Multiplexed Delay Systems

Modeling the Network Dynamics of Pulse-Coupled Neurons

Revealing Underlying Universal Wave Fluctuations in a Scaled Ray-Chaotic Cavity with Remote Injection

Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model

Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach

Attractor Reconstruction by Machine learning

Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach