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07/07/2023
Controlling Chaotic Maps using Next-Generation Reservoir Computing
In this work, we combine nonlinear system control techniques with next-g...
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07/28/2022
Learning unseen coexisting attractors
Reservoir computing is a machine learning approach that can generate a s...
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07/20/2022
Mathematical Model of Strong Physically Unclonable Functions Based on Hybrid Boolean Networks
We introduce a mathematical framework for simulating Hybrid Boolean Netw...
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03/24/2022
Learning Spatiotemporal Chaos Using Next-Generation Reservoir Computing
Forecasting the behavior of high-dimensional dynamical systems using mac...
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02/15/2022
Sensitivity of a Chaotic Logic Gate
Chaotic logic gates or `chaogates' are a promising mixed-signal approach...
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08/16/2021
High-Resolution Waveform Capture Device on a Cyclone-V FPGA
We introduce the waveform capture device (WCD), a flexible measurement s...
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08/06/2021
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing
Reservoir computers are powerful tools for chaotic time series predictio...
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06/14/2021
Next Generation Reservoir Computing
Reservoir computing is a best-in-class machine learning algorithm for pr...
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03/03/2021
Reservoir Computing with Superconducting Electronics
The rapidity and low power consumption of superconducting electronics ma...
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01/30/2021
Symmetry-Aware Reservoir Computing
We demonstrate that matching the symmetry properties of a reservoir comp...
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10/05/2020
Model-Free Control of Dynamical Systems with Deep Reservoir Computing
We propose and demonstrate a nonlinear control method that can be applie...
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10/01/2019
Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers
We explore the hyperparameter space of reservoir computers used for fore...
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07/29/2019
