Tutorials on chaining together LFP simulation (neurodsp), spectral parameterization (fooof), and simulation-based inference (sbi).
| Colab Link | Tutorial |
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Demo 1: minimal example of how to use fooof and simulating time series. |
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Demo 2: reproducing the Poisson EI-1/f exponent model using neurodsp. |
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Demo 3: minimal example of how to use sbi. |
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Demo 4: combining everything to do inference and probabilistic spectral parameter estimation. |
Packages required (all installable via pip install):
To set up and run in a new conda environment:
conda create -n sbsp python=3.8
conda activate sbsp
pip install uv
uv pip install jupyter fooof neurodsp sbi==0.22
For more complex mechanistic model simulations with spiking neural networks, go to AutoMIND.