Source code for the CHAracterisation of Reservoir Computers (CHARC) framework
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Updated
May 7, 2019 - MATLAB
Source code for the CHAracterisation of Reservoir Computers (CHARC) framework
Source code for the CHAracterisation of Reservoir Computers (CHARC) framework
Simulation code of the paper "Persistent Memory in Single Node Delay-Coupled Reservoir Computing"
Computational Neuroscience projects.
Code for Computational Neuroscience course 2020/2021 @ UniPi
Codes of our publication: Kong, Ling-Wei, Hua-Wei Fan, Celso Grebogi, and Ying-Cheng Lai. "Machine learning prediction of critical transition and system collapse." Physical Review Research 3, no. 1 (2021): 013090.
Memristor-Network-Reservoir: MATLAB codes for simulating memristor networks and performing reservoir computation.
Codes for ''Machine-learning parameter tracking with partial state observation'', which published in Physical Review Research.
Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.
Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.
Reservoir-computing based associative memory and itinerancy for complex dynamical attractors
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