EEG data analysis using Foundational Models

[Debtanu2005]

Hi everyone,

I'm Debtanu Das, and I’m excited to contribute to the project "Open-Source Framework for Advanced EEG Data Analysis Using Pre-trained Foundation Models." I wanted to start this discussion by sharing a resource that I found useful for EEG signal processing and machine learning.

Resource:
Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques
🔗 https://pmc.ncbi.nlm.nih.gov/articles/PMC10385593/

This project focuses on Pretrained Foundation Models, and I’ve been thinking about the best architectures to suit different components of the pipeline. I’d love to hear your thoughts and ideas! Also, here’s my project link for anyone interested:
🔗 https://github.com/Debtanu2005/EEG_data_pred

[Anyadike22]

Hi everyone!
I’m Nnaemeka , a Pharmacology major with a strong interest in neurotechnology and applied AI. I also have hands-on experience in machine learning engineering, particularly in model development and data pipelines.

I’m really excited about the topic “Open-Source Framework for Advanced EEG Data Analysis Using Pre-trained Foundation Models” and would love to contribute to developing this project. The intersection of neuroscience, open-source tooling, and foundation models aligns perfectly with both my academic background and technical skills.

Looking forward to learning, collaborating, and building something impactful with the community!