brain-signals

[Advanced Intelligent Systems 2026] Official implementation of METIS: A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis.

STUDY ON PROCESSING BRAIN SIGNALS USING EEG SENSOR BY MACHINE LEARNING

This project aim is to classify the motor imagery signals extracted from the brain using an Electro Encephalogram

Home made EEG utilizing basic electronic components and an Arduino.

Repo with code to run experiments comparing different predictability sources in OB1-reader, a model of eye movement control during reading. This work is part of a PhD project conducted by Adrielli Lopes and supervised by Martijn Meeter and Joshua Snell (Vrije Universiteit Amsterdam).

MATLAB implementation for lie detection using EEG signals. It uses wavelet-based feature extraction, Variational Mode Decomposition (VMD), advanced feature selection, and ensemble classifiers to detect deception from multi-channel EEG data.

Open source content from the Hi! PARIS Summer School 2022 👩‍🏫

🧠 Transfer your thoughts to text using the bai-Mind-8 models, designed for 8-channel EEG devices; ideal for experimental applications.

Exploring probabilistic modelling and parameter estimation using Approximate Bayesian Computation (ABC) on brain signal data.

MuseBandWebApp

This project performs in depth analysis of brain signals from EDF (European Data Format) files using time domain, frequency domain, and time frequency analysis methods. The analysis includes signal visualization, spectral analysis, artifact detection, and seizure identification.