Preprocessed data and analysis scripts of the manuscript "Electrophysiological correlates of the interplay between low-level visual features and emotional content during word reading".
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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).
Preprocessed data and analysis scripts of the manuscript "Electrophysiological correlates of the interplay between low-level visual features and emotional content during word reading".
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.
Interactive EEG/ECG visualization tool for brain waves and physiological signal analysis
ERD maps low vs. high IQ.
A website that allows users to upload EEG and similar files and the user can make certain filtering/preprocessing selections that apply to graph visualization. Worked on this project in CMPS 420 using libraries like MNE, Plotly, and Django
Real-time BCI platform used to assess performance when combining motor imagery and steady-state visual evoked potential signals
A paper titled 'Prospects of brain-computer interfaces in communication for disabled children' submitted to the Waynflete Studies program.
Annotate signal, timeseries, waveforms...
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.
Preprocessed data and analysis scripts of the manuscript "Rapid processing of neutral and angry expressions within ongoing facial stimulus streams: Is it all about isolated facial features?".
(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.
NYCU CSIC30014 Lab2: EEG Classification with EEGNet (87%+ accuracy, optimized hyperparameters, BCI Competition III dataset)
Brain Signatures of Time Perception in Virtual Reality: Supplementary Materials
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).