EEG Machine Learning

[Remi-Gau]

Added as an issue for book keeping

Source:
https://brainhack-dallas.github.io/mini-brainhack-utd/#projects

Matt Kmiecik
Matthew.Kmiecik@utdallas.edu

Goal: Explore applications of machine learning to electrophysiological data

Description: Two participant groups (controls vs. individuals with alcoholism) were shown images that were either identical or different while their scalp EEG was recorded. This brainhack project will explore ways to visualize event-related potentials (ERPs) and identify features within electrophysiological signals that differentiate how alcoholic from non-alcoholic individuals identify similarities and differences in their visual field.

Tools: R, GitHub, EEGLAB, MATLAB

GitHub:
https://github.com/mkmiecik14/ml-eeg