UnfoldSim.jl
UnfoldSim.jl: Simulating continuous event-based time series data for EEG and beyond - Published in JOSS (2025)
Science Score: 100.0%
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✓CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
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✓DOI references
Found 13 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org, zenodo.org -
✓Committers with academic emails
2 of 11 committers (18.2%) from academic institutions -
○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Keywords from Contributors
Repository
Simulate EEG / ERP data with overlap, non-linear effects, multiple regression
Basic Info
Statistics
- Stars: 13
- Watchers: 4
- Forks: 7
- Open Issues: 44
- Releases: 14
Topics
Metadata Files
README.md
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A Julia package to simulate multivariate time series, e.g. model-based ERPs, fMRI activity, pupil dilation etc. UnfoldSim.jl provides multi-channel support via EEG-forward models. Moreover, it is possible to simulate overlapping event-related activity and to add noise of a certain type e.g. Pink noise.
Many tutorials, guides, how-tos and references are available in the documentation!

Installation
Julia
Click to expand
The recommended way to install julia is [juliaup](https://github.com/JuliaLang/juliaup). TL;DR: If you don't want to read the explicit instructions, just copy the following command: - Windows: `winget install julia -s msstore` - Mac/Linux: `curl -fsSL https://install.julialang.org | sh`UnfoldSim.jl
julia
using Pkg
Pkg.add("UnfoldSim")
Quickstart
We offer some predefined (EEG) signals to get started.
julia
using UnfoldSim
data, events = UnfoldSim.predef_eeg(; n_repeats = 1, noiselevel = 0.8)
Produces continuous "EEG" with PinkNoise and some overlap between 20 events (2 conditions * 10 levels of the continuous variable).
Slightly longer
All simulation ingredients (design, components, onsets, noise) can be easily modified and you can simply plugin your own!
```julia using UnfoldSim using Random
Start by defining the design / events data frame.
design = SingleSubjectDesign(; conditions = Dict(:condA => ["levelA", "levelB"])) |> d -> RepeatDesign(d, 10)
Next define a ground truth signal + relation to events/design with Wilkinson formulas.
signal = LinearModelComponent(; basis = [0, 0, 0, 0.5, 1, 1, 0.5, 0, 0], formula = @formula(0 ~ 1 + condA), β = [1, 0.5], )
Finally, define some inter-onset distance distribution and noise, and simulate data!
data, events = simulate(
Random.MersenneTwister(1),
design,
signal,
UniformOnset(; offset = 5, width = 4),
PinkNoise(),
)
```
Statement of need
EEG researchers often analyze data containing (temporally) overlapping events (e.g. stimulus onset and button press, or consecutive eye-fixations), non-linear effects, and complex experimental designs. For a multitude of reasons, we often need to simulate such kinds of data: Simulated EEG data is useful to test preprocessing and analysis tools, validate statistical methods, illustrate conceptual issues, test toolbox functionalities, and find limitations of traditional analysis workflows. For instance, such simulation tools allow for testing the assumptions of new analysis algorithms and testing their robustness against any violation of these assumptions.
Contributions
Contributions of any kind are very welcome. Please have a look at CONTRIBUTING.md for guidance on contributing to UnfoldSim.jl.
Contributors
Maanik Marathe 📖 💻 |
Benedikt Ehinger 🐛 💻 📖 🤔 🚇 🚧 👀 ⚠️ ✅ |
Luis 🐛 💻 📖 🤔 |
Judith Schepers 🤔 🐛 📖 ✅ 💻 ⚠️ |
Vladimir Mikheev 🐛 |
Manpa Barman 🚇 |
René Skukies 📖 💻 ⚠️ 🤔 ✅ |
This project follows the all-contributors specification. Please reach out, if you have contributed to UnfoldSim.jl but we have not listed you as a contributor yet.
Citation
If you use UnfoldSim.jl, please acknowledge and support our work by citing
1. Our JOSS paper:
Schepers et al., (2025). UnfoldSim.jl: Simulating continuous event-based time series data for EEG and beyond.
Journal of Open Source Software, 10(107), 6641, https://doi.org/10.21105/joss.06641
BibTeX entry:
```bib @article{Schepers2025, doi = {10.21105/joss.06641}, url = {https://doi.org/10.21105/joss.06641}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {107}, pages = {6641}, author = {Judith Schepers and Luis Lips and Maanik Marathe and Benedikt V. Ehinger}, title = {UnfoldSim.jl: Simulating continuous event-based time series data for EEG and beyond}, journal = {Journal of Open Source Software} } ```and
2. The corresponding Zenodo DOI for the specific UnfoldSim.jl version that you are using in your work.
Acknowledgements
Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2075 – 390740016. Furthermore, the authors thank the International Max Planck Research School for Intelligent Systems (IMPRS-IS) for supporting Judith Schepers.
Owner
- Name: unfoldtoolbox
- Login: unfoldtoolbox
- Kind: organization
- Email: info@unfoldtoolbox.org
- Website: http://www.unfoldtoolbox.org
- Repositories: 5
- Profile: https://github.com/unfoldtoolbox
Unfold your potentials...
JOSS Publication
UnfoldSim.jl: Simulating continuous event-based time series data for EEG and beyond
Authors
Institute for Visualisation and Interactive Systems, University of Stuttgart, Germany
Institute for Visualisation and Interactive Systems, University of Stuttgart, Germany
Institute for Visualisation and Interactive Systems, University of Stuttgart, Germany
Tags
EEG ERPs evoked potentials neuroimaging simulation time-series regression ERPsCitation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
UnfoldSim.jl: Simulating continuous event-based time
series data for EEG and beyond
message: "If you use this package, please cite it as below."
type: software
authors:
- given-names: Judith
family-names: Schepers
orcid: "https://orcid.org/0009-0000-9270-730X"
- given-names: Luis
family-names: Lips
- given-names: Maanik
family-names: Marathe
- given-names: Benedikt
family-names: Ehinger
orcid: "https://orcid.org/0000-0002-6276-3332"
identifiers:
- type: doi
value: 10.5281/zenodo.7738651
description: Zenodo
- type: doi
value: 10.21105/joss.06641
description: JOSS paper
repository-code: "https://github.com/unfoldtoolbox/UnfoldSim.jl"
preferred-citation:
authors:
- family-names: Schepers
given-names: Judith
orcid: "https://orcid.org/0009-0000-9270-730X"
- family-names: Lips
given-names: Luis
- family-names: Marathe
given-names: Maanik
- family-names: Ehinger
given-names: Benedikt V.
orcid: "https://orcid.org/0000-0002-6276-3332"
date-published: "2025-03-14"
doi: 10.21105/joss.06641
issn: 2475-9066
issue: 107
journal: Journal of Open Source Software
publisher:
name: Open Journals
start: 6641
title: "UnfoldSim.jl: Simulating continuous event-based time series
data for EEG and beyond"
type: article
url: "https://joss.theoj.org/papers/10.21105/joss.06641"
volume: 10
GitHub Events
Total
- Create event: 29
- Release event: 2
- Issues event: 21
- Watch event: 5
- Delete event: 16
- Member event: 1
- Issue comment event: 70
- Push event: 256
- Pull request review comment event: 315
- Pull request review event: 103
- Pull request event: 58
- Fork event: 4
Last Year
- Create event: 29
- Release event: 2
- Issues event: 21
- Watch event: 5
- Delete event: 16
- Member event: 1
- Issue comment event: 70
- Push event: 256
- Pull request review comment event: 315
- Pull request review event: 103
- Pull request event: 58
- Fork event: 4
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| jschepers | j****s@v****e | 206 |
| behinger (s-ccs 001) | b****r@v****e | 178 |
| allcontributors[bot] | 4****] | 24 |
| maanikmarathe | 6****e | 9 |
| llips | l****s@l****x | 5 |
| Manpa Barman | m****c@g****m | 2 |
| CompatHelper Julia | c****y@j****g | 2 |
| llips | 3****s | 1 |
| Yanhong Xu | y****u@g****m | 1 |
| Vladimir Mikheev | 3****z | 1 |
| René Skukies | 5****s | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 51
- Total pull requests: 133
- Average time to close issues: 5 months
- Average time to close pull requests: 23 days
- Total issue authors: 10
- Total pull request authors: 11
- Average comments per issue: 3.04
- Average comments per pull request: 0.86
- Merged pull requests: 95
- Bot issues: 0
- Bot pull requests: 15
Past Year
- Issues: 21
- Pull requests: 59
- Average time to close issues: 3 months
- Average time to close pull requests: about 1 month
- Issue authors: 7
- Pull request authors: 8
- Average comments per issue: 2.76
- Average comments per pull request: 0.58
- Merged pull requests: 31
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
- behinger (23)
- jschepers (10)
- ReneSkukies (5)
- vladdez (4)
- ssaket (2)
- cbrnr (2)
- roualdes (1)
- Zooaal (1)
- JuliaTagBot (1)
- geigermartin (1)
Pull Request Authors
- behinger (81)
- jschepers (56)
- allcontributors[bot] (11)
- maanikmarathe (4)
- ReneSkukies (4)
- github-actions[bot] (3)
- Zooaal (2)
- xuyg16 (2)
- vladdez (1)
- ReboreExplore (1)
- danielskatz (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- julia 5 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 13
juliahub.com: UnfoldSim
Simulate EEG / ERP data with overlap, non-linear effects, multiple regression
- Documentation: https://docs.juliahub.com/General/UnfoldSim/stable/
- License: MIT
-
Latest release: 0.4.1
published 8 months ago
Rankings
Dependencies
- actions/checkout v2 composite
- codecov/codecov-action v2 composite
- julia-actions/cache v1 composite
- julia-actions/julia-buildpkg v1 composite
- julia-actions/julia-docdeploy v1 composite
- julia-actions/julia-processcoverage v1 composite
- julia-actions/julia-runtest v1 composite
- julia-actions/setup-julia v1 composite
- JuliaRegistries/TagBot v1 composite
- SimTech-Research-Data-Management/dataverse-sync v1 composite
- actions/checkout v2 composite