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Exercise 0 - Visualizing Spike Trains.ipynb	6d8b6c0b55 more analyses and project done	před 1 týdnem
Exercise 1 - Crosscorrelations.ipynb	6d8b6c0b55 more analyses and project done	před 1 týdnem
Exercise 2 - Unitary Event Analysis.ipynb	b951a7bc2b Added exercises Sonja Gruen	před 3 týdny
Exercise 3 - Higher Order Correlations.ipynb	6d8b6c0b55 more analyses and project done	před 1 týdnem
README.md	b951a7bc2b Added exercises Sonja Gruen	před 3 týdny
environment.yml	b951a7bc2b Added exercises Sonja Gruen	před 3 týdny
utils.py	b951a7bc2b Added exercises Sonja Gruen	před 3 týdny

spike_train_analysis

Materials for Spike Train Analysis tutorials

Setting up the environment

An environment.yml file is provided to install all dependencies.

Alternative manual installation:

> mamba create --name andani_gruen python=3.11 numpy scipy statsmodels matplotlib tqdm ipykernel
> conda activate andani_gruen
> pip install neo<0.13.4
> pip install elephant==1.1.0
> pip install viziphant
> python -m ipykernel install --user --name andani_gruen
If jupyter-lab is not installed:
- > conda install jupyterlab
If jupyter-lab raises ImportError:
- > conda install chardet

Running the notebooks

Make sure that the kernel "andani_gruen" is used to run the notebook.