danieleavitabile / nonlinear-dynamical-systems-course-tutorials
Tutorial for the course Nonlinear Dynamical Systems - Part 3
☆11Updated 2 years ago
Alternatives and similar repositories for nonlinear-dynamical-systems-course-tutorials:
Users that are interested in nonlinear-dynamical-systems-course-tutorials are comparing it to the libraries listed below
- Python package for automated bifurcation analysis and parameter continuations, based on Auto-07p.☆22Updated last month
- Reduced-order modelling using an atlas of charts☆25Updated 2 years ago
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- ☆14Updated 11 months ago
- A MATLAB package for computing the optimized dynamic mode decomposition (DMD)☆18Updated 6 years ago
- Neuronal Network Meanfield Toolbox - official documentation: https://nnmt.readthedocs.io☆13Updated last year
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆72Updated 3 months ago
- This is material written for the masterclass Numerical and Analytical Methods for Spatially-Extended Neurobiological Networks, held at th…☆11Updated 10 months ago
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆9Updated 3 years ago
- Python implementation of MODA, a numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University.☆21Updated 2 years ago
- ☆10Updated 6 months ago
- ☆17Updated 4 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 3 years ago
- Model fitting toolbox for the Brian 2 simulator☆15Updated last year
- A collection of matplotlib style sheets and plotting tools for publication-ready figures☆14Updated 2 years ago
- Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …☆30Updated 6 years ago
- The framework for inferring Langevin dynamics from spike data☆30Updated 2 months ago
- A framework for simulating mean-field neural mass models of spiking neurons, comparing them to large network simulations, and predicting …☆16Updated 5 years ago
- ☆23Updated last year
- Two Dimensional Fokker-Planck Solver using Matlab☆19Updated 5 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Automated dynamical systems inference☆38Updated last year
- Machine Learning with Echo State Networks, a scikit-learn compatible package.☆38Updated 3 months ago
- An Introduction to Modeling Neuronal Dynamics - Borgers in python, Single Neuron Models, Mathematical Modeling, Computational Neuroscienc…☆44Updated 2 months ago
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆87Updated this week
- SpikeForest -- spike sorting analysis for website☆16Updated 4 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆12Updated 2 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- a Python package for unbiased estimation of timescales and hypothesis testing☆26Updated 2 months ago
- Python version of Rick Chartrand's algorithm for numerical differentiation of noisy data☆70Updated 4 years ago