This is your work, valued

Helsinki, Finland

Marijn van Vliet

Elite
@wmvanvliet

Academy Research Fellow.

scns. Visualization of a neural network

129

neuroscience_tutorials. Some tutorials for students of neuroscience

120

pytorch_hmax. Implementation of the HMAX model of vision in PyTorch

62

mne_microstates. Microstate analysis for use with MNE-Python

59

pandoc-tutorial. How to convert LaTeX to DOCX (and everything else)

48

8bit. Stuff related to Ben Eater's 8bit breadboard computer

45

mne-faster. Automatic EEG bad channel/epoch/ICA-component detection using FASTER

26

Kerbulator. Calculator plugin for Kerbal Space Program

19

vim-blackboard. A port of the Blackboard theme from TextMate to Vim.

8

posthoc. Post-hoc modification of linear models

8

jupyter-vim. Make Vim talk to Jupyter kernels

7

beamformer_simulation. Big simulation study for MNE-Python's LCMV and DICS beamformers

6

ERP-beamformer. A beamformer filtering approach to ERP analysis. Used in van Vliet et al. TBME, 2016

6

gizmo. Python challenge

5

elegant_efficient_numpy. Elegant and efficient NumPy

5

filename-templates. Elegantly manage filenames in data analysis scripts

5

livemeeg2020. Example data analysis demonstrated at LiveMEEG 2020

5

mne_practical_meeg_2025. Materials for MNE-Python sessions at Practical MEEG 2025

5

good_code. Thoughts on writing good code

4

torch-pcdim. A PyToch implementation of the DIM predictive coding model

2

latex_templates. Some LaTeX templates

2

scientific_writing_tips. Some practical advice for writing academic texts

2

matlab-azure-ci. Testing MATLAB CI integration with Azure DevOps

2

mne-blender. Importing MNE-Python objects in Blender

2

psychic. Psychic is a Python package for EEG data analysis, with a focus on machine learning.

2

Video-Super-Resolution. Python

1

magic-trick. An EEG/MEG magic trick

1

python-syntax. Python syntax highlighting for Vim

1

emokit. Open source driver for accessing raw data from the Emotiv EPOC EEG headset

1

mne-biomag-group-demo. Group analysis demo with MNE

1

numgrid. Numerical integration grid for molecules.

1

numpydoc-types. Automatic type checking based on numpydoc

1

pyusb. USB access on python

1

mne-doc-notebooks. Collection of ipython notebooks that document MNE functionality

1

golem. Golem is a modular machine learning library for Python

1

omission_frontiers. Code for omission frontiers

1

jocn2017. Analysis code for van Vliet, Van Hulle and Salmelin, Journal of Cognitive Neuroscience, 2017

1

python-for-scicomp. Python for scientific computing course

1