A framework for real-time brain signal streaming with MNE-Python.
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Updated
Oct 26, 2026 - Python
A framework for real-time brain signal streaming with MNE-Python.
AlphaGrad: Normalized Gradient Descent for Adaptive Multi-loss Functions in EEG-based Motor Imagery Classification (IEEE Journal of Biomedical and Health Informatics)
AI-powered EEG analysis engine for real-time brain-computer interfaces, neurological research, and clinical monitoring
Repository for the I-VEP BCI paradigm
A Lightweight Deep Convolutional Neural Network for Detecting Artifacts in Continuous EEG Signals
Code for the paper "Removing Timing Shortcuts Improves Non-Invasive Brain-to-Text"
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.
Latent-Level Uncertainty Resolution for Stable Sequence Generation across Distribution Shifts: Open-Vocabulary EEG-to-Text Decoding
A reproducible benchmark connecting Jev semantic priors with intracortical inner-speech BCI decoding.
Closed-loop BCI pipeline for automated lucid dream induction via real-time EEG sleep stage classification | Part of LUCID: Reality?
A North Star for post-linguistic communication — open reference implementation of the Experience Semantic Protocol (ESP V13). Experience travels as six typed parts (knowledge, intention, emotion, context, sensation, time) with per-part consent, Python + Rust interop, shared semantic memory and a Typed Hive.
Person identification and verification using EEG
ZARQA Blindsight Project: A topological framework, non-linear mathematical calculus, and cybernetic operating architecture for cortical visual prostheses.
Preprocessing pipeline turning WAY-EEG-GAL MATLAB recordings into event-aligned, ML-ready EEG tensors (bandpass, ICA/ICLabel, windowing).
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