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Lines of code distribution across 10 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
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Library for processing and analyizing M/EEG data as recorded with naturalistic stimuli.
Code and minimal working example on preprocessed data to reproduce results of "The Structure and Statistics of Language jointly shape Cross-frequency Dynamics during Spoken Language Comprehension".
Tutorial from the CNSP 2025 Workshop, entitled: "Bridging complexity in neural dynamics: Non-linear approaches to temporal response function analysis"
G2P with Tensorflow
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Repository to store saved progress in notebook exploring project dataset.
Deep decode EEG/envelope
The Python Noise-Tagging Brain-Computer interface (PyntBCI) library is a Python toolbox for the noise-tagging brain-computer interfacing (BCI) project developed at the Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
cochleagram generation code in pytorch
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