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

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.

Supporting code for the GX Dataset

SHINE_color: MATLAB toolbox to control luminance of colorful images.

Eye open and close classification using Machine Learning

Towards Turnkey Brain-Computer Interfaces

Annotate signal, timeseries, waveforms...

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

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

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.

Processing data with EEGLAB

Real-time BCI platform used to assess performance when combining motor imagery and steady-state visual evoked potential signals

(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.

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.

Fork and rebirth of an old project called "OpenEEG"

Based on OpenBCI_Processing, OpenBCI_GUI_v2.0 extends the GUI to include additional features, and will soon be usable with the Ganglion board.

GitHub Pages for BSL.