Wing Commander 1 source reconstruction and SDL2 port
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Updated
Aug 30, 2026 - C
Wing Commander 1 source reconstruction and SDL2 port
Disassembly of the C64 version of Green Beret
Python toolbox for uncertainty estimation and calibration in EEG/MEG inverse source imaging.
Real-time BCI platform used to assess performance of: (1) discrete trial vs continuous pursuit BCI training (2) source (EEG source imaging) vs sensor space decoding (3) continuous robotic arm control
A solver of EEG/MEG inverse problem using a multivariate auto-regressive model on the source space
Comprehensive MEG pipeline from raw data to source reconstruction.
Simulates EEG data representing sensorimotor rhythms. Develops and compares spatial filters for neural source reconstruction.
Synthetic radiological plume modeling and sensor-network analysis pipeline with Gaussian plume transport, detector thresholds, source reconstruction, Monte Carlo uncertainty, and MATLAB/Python figures.
Complete pipeline from an MRI in DICOM + an EEG recording to a cortical source estimate with MNE-Python. Driven in Python, runs natively on Windows, without FreeSurfer, without WSL, without Docker. (An optional volumetric BEM route is described further down; that one does use WSL + FreeSurfer.)
RAVEN — Retrieval Augmented Adaptive Epistemic Navigation. Privacy-first, fully offline RAG backend. Python module for the RAVEN desktop app
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