Code for running the analyses from the article "Propofol destabilizies neural dynamics across cortex"
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Updated
May 15, 2024 - Jupyter Notebook
Code for running the analyses from the article "Propofol destabilizies neural dynamics across cortex"
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
This repository contains the code for bilinear models for serial manipulators and the corresponding ZNN controller developed for the purpose of trajectory tracking with the aforementioned models.
This repository is a supplementary documentation for the Multi-Model Parameterized Koopman (MMPK) framework capturing results through software and hardware deployments
For research into the application of Koopman operators at Boston University.
In this work, we present a novel approach that combines the power of Koopman operators and deep neural networks to generate a linear representation of the Duffing oscillator. This approach enables effective parameter estimation and accurate prediction of the oscillator's future behavior.
Library for the analysis of time-evolving graphs
a little library to help me with things involving Koopman operators
Transfer operator toolbox for numpy/torch.
project for my essay on how to use neural networks to linearise nonlinear dynamical systems
Model-based Control using Koopman Operators
Koopman operator
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