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 three libraries
This grants users high performance, and highly customizable plots.
We currently support 9 general ERP plots:
And 2 Unfold-specific plots:
using Pkg
Pkg.add("UnfoldMakie")
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 are very welcome. These can be typos, bug reports, feature requests, speed improvements, new solvers, better code, better documentation.
You are very welcome to submit issues and start pull requests!
docs/literate/FOLDER/FILENAME.jl
with FOLDER
being HowTo
, Explanation
, Tutorial
or Reference
(recommended reading on the 4 categories)..jl
file to a .md
automatically and places it in docs/src/generated/FOLDER/FILENAME.md
.docs/src/generated/FOLDER/FILENAME.md
.If you use these visualizations, please cite:
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) β Project-ID 251654672 β TRR 161β / βGefΓΆrdert durch die Deutsche Forschungsgemeinschaft (DFG) β Projektnummer 251654672 β TRR 161.
Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under GermanyΒ΄s Excellence Strategy β EXC 2075 β 390740016