BioAmp EXG Pill is a small and elegant Analog Front End (AFE) board for BioPotential signal acquisition.

Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.

Upside Down Lab's Biopotential Amplifier v1.5 - Buy on Tindie at https://bit.ly/BioAmp-v1_5

Supporting code for the GX Dataset

A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis and to regularise vector fields using global structures.

SHINE_color: MATLAB toolbox to control luminance of colorful images.

Eye open and close classification using Machine Learning

Towards Turnkey Brain-Computer Interfaces

(Sarthak Tayal, Annette Dao, Nora Michniewicz, Breanna Carez) Seizure Seeker is a browser-based tool that has trained data from EEG datasets to process EEG recordings to identify areas of seizure events/elevated neural activity. With one-second windows, it establishes a quiet baseline to detect seizure events above YOUR/an auto chosen threshold.

EEGFrontier is an open-source EEG device designed to measure focus and attention during study using real brain signals. It uses a custom-built PCB with a professional EEG analog front-end to capture raw EEG data and stream it in real time to a computer via USB.

Annotate signal, timeseries, waveforms...

Using multivariate assessments on infant EEG data to investigate visual category representations.

Testing the Muse S Athena and trial stimulus markers using a simple paradigm whereby the participant must categorise 612 faces (102 unique faces, with six repetitions each) as being either "male" or "female" through a simple keyboard response.

NeuroAd uses EEG data to predict how audiences will engage with advertisements. By analyzing brainwave patterns, it provides insights into ad performance, helping optimize content before launch. This project combines neuroscience with machine learning for a data-driven approach to enhancing ad effectiveness.

🧠 Connect, create, and earn with BRAIN—your social network for paid posts, live streaming, AI interactions, and verified identities.

Real-time visual performance driven by the 🧠 (brain) data of two performers

Sending Electroencephalography(EEG) data to a webpage via Firebase Real Time Database using Muse EEG headset

Processing data with EEGLAB

Fork and rebirth of an old project called "OpenEEG"

ERD maps low vs. high IQ.