scns. Visualization of a neural network
129neuroscience_tutorials. Some tutorials for students of neuroscience
120pytorch_hmax. Implementation of the HMAX model of vision in PyTorch
62mne_microstates. Microstate analysis for use with MNE-Python
59pandoc-tutorial. How to convert LaTeX to DOCX (and everything else)
488bit. Stuff related to Ben Eater's 8bit breadboard computer
45mne-faster. Automatic EEG bad channel/epoch/ICA-component detection using FASTER
26Kerbulator. Calculator plugin for Kerbal Space Program
19vim-blackboard. A port of the Blackboard theme from TextMate to Vim.
8posthoc. Post-hoc modification of linear models
8jupyter-vim. Make Vim talk to Jupyter kernels
7beamformer_simulation. Big simulation study for MNE-Python's LCMV and DICS beamformers
6ERP-beamformer. A beamformer filtering approach to ERP analysis. Used in van Vliet et al. TBME, 2016
6gizmo. Python challenge
5elegant_efficient_numpy. Elegant and efficient NumPy
5filename-templates. Elegantly manage filenames in data analysis scripts
5livemeeg2020. Example data analysis demonstrated at LiveMEEG 2020
5mne_practical_meeg_2025. Materials for MNE-Python sessions at Practical MEEG 2025
5good_code. Thoughts on writing good code
4torch-pcdim. A PyToch implementation of the DIM predictive coding model
2latex_templates. Some LaTeX templates
2scientific_writing_tips. Some practical advice for writing academic texts
2matlab-azure-ci. Testing MATLAB CI integration with Azure DevOps
2mne-blender. Importing MNE-Python objects in Blender
2psychic. Psychic is a Python package for EEG data analysis, with a focus on machine learning.
2Video-Super-Resolution. Python
1magic-trick. An EEG/MEG magic trick
1python-syntax. Python syntax highlighting for Vim
1emokit. Open source driver for accessing raw data from the Emotiv EPOC EEG headset
1mne-biomag-group-demo. Group analysis demo with MNE
1numgrid. Numerical integration grid for molecules.
1numpydoc-types. Automatic type checking based on numpydoc
1pyusb. USB access on python
1mne-doc-notebooks. Collection of ipython notebooks that document MNE functionality
1golem. Golem is a modular machine learning library for Python
1omission_frontiers. Code for omission frontiers
1jocn2017. Analysis code for van Vliet, Van Hulle and Salmelin, Journal of Cognitive Neuroscience, 2017
1python-for-scicomp. Python for scientific computing course
1