# ANDA-NI Tutorials 2024

## Udo Ernst: Spectral Analysis
Instructions for the exercises are provided in the file `ANDA2024_Training_Spectral.pdf`.

Exercises for individual methods are contained in the `test-*` files. The second part of the exercise is contained in the notebook `ANDA2024_Spectral_DataAnalysis.ipynb`.

To get started, create a Python environment using the `environment.yml` file provided.

## Andrea Brovelli: Neuronal Interactions
The folder `tutorials/notebooks` contains a series of 5 exercises based on the Frites software package, which are replicated from https://github.com/brainets/CookingFrites.
Part 0 explains the usage of `xarray`, a Python package used to represent data in Frites. Tutorials 1-4 then cover the various stages of a Frites workflow based on an example sEEG dataset. Information on the various stages of the workflow, and on the dataset details are located in the folder `tutorials/slides.html`. Each tutorial goes through a sequence of processing steps on the example datasets, and ends on a practical exercise to explore the dataset further.