This repository serves as a personal resource for EEG data analysis. It is designed to help me quickly revisit and apply various concepts related to neural signal processing whenever needed.
If I need to perform or review specific techniques, I can refer to the how_to section for practical or theoretical guidance and explanations.
All of the codes in this repository are inspired by the content provided by Mike X. Cohen. For a deeper understanding of neural signal processing, I recommend exploring the following resources:
- Book: Cohen, M. X. (2014). Analyzing Neural Time Series Data: Theory and Practice. The MIT Press.
- Online Course: Udemy - Complete Neural Signal Processing and Analysis: Zero to Hero by Mike X Cohen.
src/: Contains practice scripts and sample datasets used during the course to apply neural signal processing techniques.how_to/: Provides scripts and code snippets demonstrating how to implement specific EEG and signal processing concepts. Each script focuses on a different technique and includes explanations on how and why it is used.README.md: This file