Codes for ''Machine-learning parameter tracking with partial state observation'', which published in Physical Review Research.
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Updated
Apr 2, 2024 - MATLAB
Codes for ''Machine-learning parameter tracking with partial state observation'', which published in Physical Review Research.
Computational Neuroscience models
Human Activity Recognition using Echo State Networks.
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.
Code for Computational Neuroscience course 2020/2021 @ UniPi
This repository contains the code used to produce the results presented in the IJCNN 2017 paper "DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout" by D. Bacciu, F. Crecchi (University of Pisa) and D. Morelli (Biobeats LTD).
Dynamic Graph Echo State Networks
Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.
Computational Neuroscience projects.
NNAEC-Neural Network based Acoustic Echo Cancellation
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