Main languages: Embedded C ๐ค, C# ๐จ, Python ๐, VHDL </>. Dabbled in: PHP, Java, React, C++, Dart, SQL.
pybci. Create real-time BCI's with the LSL, PyTorch, SKLearn and TensorFlow packages.
33QT-nback_study. This folder holds source code to run a baseline, 1,2,3 and 4 step n-back study which generates relative LSL markers send for each trigger. All written in Python utilising PyQt5 as the GUI and timer.
3QT-arithmetic_study. This folder holds source code to run an arithmetic study with 7 levels of difficulty + baseline (difficulty derived from Thomas (1963) Q value) which generates relative LSL markers send for each trigger. All written in Python utilising PyQt5 as the GUI and timer.
2ChatGPT-PyQT-Prompter. ChatGPT-PyQT-Prompter
1Arithmetic_Workload_Estimation. Standalone ML feature extraction and workload estimation pipeline for arithmetic-task BIDS data
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