UnfoldMakie.jl

rERP	EEG visualisation	EEG Simulations	BIDS pipeline	Decode EEG data	Statistical testing

A toolbox for visualizations of EEG/ERP data and Unfold.jl models. Based on the Unfold and Makie, it grants users high performance, and highly customizable plots.

We currently support:

ERP plots
Butterfly plots
Topography plots
Topography time series
ERP grid
ERP images
Channel images
Parallel coordinates
Design matrices
Circular topoplots

Install

Installing Julia

Click to expand

The recommended way to install julia is juliaup. It allows you to, e.g., easily update Julia at a later point, but also to test out alpha/beta versions etc.

TLDR: If you don't want to read the explicit instructions, just copy the following command

Windows

AppStore -> JuliaUp, or winget install julia -s msstore in CMD

Mac & Linux

curl -fsSL https://install.julialang.org | sh in any shell

Installing Unfold

using Pkg
Pkg.add("UnfoldMakie")

Quickstart

using UnfoldMakie
using CairoMakie # backend
using Unfold, UnfoldSim # Fit / Simulation

data, evts = UnfoldSim.predef_eeg(; noiselevel = 12, return_epoched = true)
data = reshape(data, 1, size(data)...) # simulate a single channel

times = range(0, step = 1 / 100, length = size(data, 2))
m = fit(UnfoldModel, @formula(0 ~ 1 + condition), evts, data, times)

plot_erp(coeftable(m))

Contributions

Contributions are very welcome. These can be typos, bug reports, feature requests, speed improvements, new solvers, better code, better documentation.

How to Contribute

You are very welcome to submit issues and start pull requests!

Adding Documentation

We recommend to write a Literate.jl document and place it in docs/literate/FOLDER/FILENAME.jl with FOLDER being HowTo, Explanation, Tutorial or Reference (recommended reading on the 4 categories).
Literate.jl converts the .jl file to a .md automatically and places it in docs/src/generated/FOLDER/FILENAME.md.
Edit make.jl with a reference to docs/src/generated/FOLDER/FILENAME.md.

Citation

If you use these visualizations, please cite:

Contributors

_{Benedikt Ehinger} 🐛 💻 📖 🤔 🚇 🚧 💬 👀 ⚠️ ✅	_{Daniel Baumgartner} 💻 📖	_{Vladimir Mikheev} 🐛 💻 📖 🤔 🚧 👀 ⚠️ ✅	_{Niklas Gärtner} 💻 📖	_{Soren Doring} 💻 📖	_{Fadil Furkan Lokman} 💻 📖	_{Judith Schepers} 🐛 🤔 📖
_{René Skukies} 📖

Acknowledgements

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 251654672 – TRR 161” / “Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) – Projektnummer 251654672 – TRR 161.

Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – EXC 2075 – 390740016

UnfoldMakie.jl