Algorithmic decision-making in neuroscience: how can we improve algorithmic interpretability and reduce bias?
Welcome! Here you can find notebooks for the workshop Algorithmic decision-making in neuroscience: how can we improve algorithmic interpretability and reduce bias?, at the Applied Machine Learning Days 2022.
Course notes can be found here
The data file '817_1_PDDys_ODDBALL_Clean_curated.fif' was originally part of the Patient Repository for EEG data and computational tools website, where it was part of the Parkinson's Oddball dataset. The publication describing this dataset can be found here.
This course is mainly based on MNE-Python, Scikit-learn and Tensorflow.
Some introductory tutorial notebooks on handling EEG data and Machine Learning with EEG data can be found here.
During the course students can work on their own short projects.