Electroencephalography (EEG) is a non-invasive method for recording electrical activity in the brain, first performed on humans by Hans Berger in 1924 (Berger, 1929).
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.
HED (Hierarchical Event Descriptor) standards organization
HED Standard Organization Profile Page
NYCU CSIC30014 Lab2: EEG Classification with EEGNet (87%+ accuracy, optimized hyperparameters, BCI Competition III dataset)
I forked my boyfriend Rhys Cornelious’s portfolio to increase search visibility and accessibility. Implementations include keyword-optimized content, structured data (JSON-LD), GitHub Pages hosting, and dedicated project pages (HemoTrek, EEG controller, PCB business card).
ERD maps low vs. high IQ.
Signal Processing & Machine Learning
(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.
Supporting code for the GX Dataset
Brain Signatures of Time Perception in Virtual Reality: Supplementary Materials
Brain Signatures of Time Perception in Virtual Reality: Supplementary Materials
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.
Real-time BCI platform used to assess performance when combining motor imagery and steady-state visual evoked potential signals
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.
PhyAAt homepage
BioAmp EXG Pill is a small and elegant Analog Front End (AFE) board for BioPotential signal acquisition.
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.
A paper titled 'Prospects of brain-computer interfaces in communication for disabled children' submitted to the Waynflete Studies program.