A framework for real-time brain signal streaming with MNE-Python.

This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.

🧠 Research on Machine Learning and Neural Network techniques applied to the classification of encephalographic signals regarding concept evocation and movement intention.

Created an Art generator, using the Unicorn EEG Headset, to generate an art piece based on the users changing levels in their alpha ratio, indicating stress level changes. The art will be more chaotic and dark if the user is stressed, and brighter with more whitespace if the user is in a relaxed, happy state.

I have utilized MNE-Python Library to study eeg files. I have tried to implement my theoretical knowledge of signal processing. This was my first experience in the field of Brain Computer Interface. Biomedical Engineering fascinates me and I find these amazing. There is another open-source MATLAB Library called EEGLab, GUI based.

Associated repository for the "MIND READING is Coming! 🤫 How Brain-Computer Interfaces Will Change EVERYTHING" 15 minute discourse podcast on YouTube!

Repository for the I-VEP BCI paradigm

[ICLR2024] International Conference on Learning Representations (2024) - Workshop on Learning from Time Series For Health (TS4H)

AlphaGrad: Normalized Gradient Descent for Adaptive Multi-loss Functions in EEG-based Motor Imagery Classification

Online portfolio

[NeurIPS2024] Neural Information Processing Systems(2024) - Workshop on Causality and Large Models (CaLM)

Neural Decoders for Hand Trajectory Estimation from M1 Activity

Person identification and verification using EEG

[NeurIPS2024] Neural Information Processing Systems(2024) - Workshop on GenAI for Health: Potential, Trust and Policy Compliance (GenAI4Health)