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| # UnfoldMakie | ||
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| [](https://unfoldtoolbox.github.io/UnfoldMakie.jl/dev) | ||
| [](https://github.com/unfoldtoolbox/UnfoldMakie.jl/actions) | ||
| [](https://codecov.io/gh/behinger/UnfoldMakie.jl) | ||
| [](https://doi.org/10.5281/zenodo.6531996) | ||
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| |rERP|EEG visualisation|EEG Simulations|BIDS pipeline|Decode EEG data|Statistical testing| | ||
| |---|---|---|---|---|---| | ||
| | <a href="https://github.com/unfoldtoolbox/Unfold.jl/tree/main"><img src="https://github-production-user-asset-6210df.s3.amazonaws.com/10183650/277623787-757575d0-aeb9-4d94-a5f8-832f13dcd2dd.png"></a> | <a href="https://github.com/unfoldtoolbox/UnfoldMakie.jl"><img src="https://github-production-user-asset-6210df.s3.amazonaws.com/10183650/277623793-37af35a0-c99c-4374-827b-40fc37de7c2b.png"></a>|<a href="https://github.com/unfoldtoolbox/UnfoldSim.jl"><img src="https://github-production-user-asset-6210df.s3.amazonaws.com/10183650/277623795-328a4ccd-8860-4b13-9fb6-64d3df9e2091.png"></a>|<a href="https://github.com/unfoldtoolbox/UnfoldBIDS.jl"><img src="https://github-production-user-asset-6210df.s3.amazonaws.com/10183650/277622460-2956ca20-9c48-4066-9e50-c5d25c50f0d1.png"></a>|<a href="https://github.com/unfoldtoolbox/UnfoldDecode.jl"><img src="https://github-production-user-asset-6210df.s3.amazonaws.com/10183650/277622487-802002c0-a1f2-4236-9123-562684d39dcf.png"></a>|<a href="https://github.com/unfoldtoolbox/UnfoldStats.jl"><img src="https://github-production-user-asset-6210df.s3.amazonaws.com/10183650/277623799-4c8f2b5a-ea84-4ee3-82f9-01ef05b4f4c6.png"></a>| | ||
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| A toolbox for visualizations of EEG/ERP data and Unfold.jl models. | ||
| Building on the [Unfold](https://github.com/unfoldtoolbox/unfold.jl/) and [Makie](https://makie.juliaplots.org/stable/), it grants users high performance, and highly customizable plots. | ||
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| We currently support: | ||
| <img src="https://github.com/unfoldtoolbox/UnfoldMakie.jl/assets/10183650/af2801e5-cd64-4932-b84d-9abc1d8470ee" width="300" align="right"> | ||
| -  | ||
| ERP plots | ||
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| Butterfly plots | ||
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| Topography plots | ||
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| Topography time series | ||
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| ERP grid | ||
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| ERP images | ||
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| Channel images | ||
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| Parallel coordinates | ||
| - Designmatrices | ||
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| UnfoldMakie allows many visualizations for ERP and "Unfolded"-models. | ||
| Building on the [Unfold](https://github.com/unfoldtoolbox/unfold.jl/) and [Makie](https://makie.juliaplots.org/stable/), it grants users highly customizable plots. | ||
| ## Install | ||
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| The toolbox requires a Makie-Backend to be loaded, e.g. `using CairoMakie` | ||
| ### Installing Julia | ||
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| Some plotting functions require data-frames, with fields like `:estimate` or `:time`. | ||
| <details> | ||
| <summary>Click to expand</summary> | ||
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| The supportet visualizations are: | ||
| The recommended way to install julia is [juliaup](https://github.com/JuliaLang/juliaup). | ||
| It allows you to, e.g., easily update Julia at a later point, but also test out alpha/beta versions etc. | ||
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| - Designmatrices | ||
| - Line Plots | ||
| - Butterfly Plots | ||
| - ERP Images with option for sorting | ||
| - Topo Plots | ||
| - Topoplot series | ||
| - Parallel Coordinates Plot | ||
| TL:DR; If you dont want to read the explicit instructions, just copy the following command | ||
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| #### Windows | ||
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| AppStore -> JuliaUp, or `winget install julia -s msstore` in CMD | ||
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| #### Mac & Linux | ||
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| `curl -fsSL https://install.julialang.org | sh` in any shell | ||
| </details> | ||
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| ### Installing Unfold | ||
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|  | ||
| ```julia | ||
| using Pkg | ||
| Pkg.add("UnfoldMakie") | ||
| ``` | ||
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| ## Structure | ||
| ### Code Notes | ||
| ## Quickstart | ||
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| The code files can be found in the `src` folder. | ||
| ```julia | ||
| using UnfoldMakie | ||
| using CairoMakie | ||
| data, evts = UnfoldSim.predef_eeg(; noiselevel = 12, return_epoched = true) | ||
| times = range(0, step = 1 / 100, length = size(data, 2)) | ||
| m= fit(UnfoldModel,@formula(0~1+condition),evts,data,times) | ||
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| ### Documentation Notes | ||
| plot_erp(coeftable(m)) | ||
| ``` | ||
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| The documentation can be found in the `doc` folder. We use `Documenter.jl` and plan to use `Literate.jl` for future usage. | ||
| In the `src` folder contained within it exists as "raw" `.md` files and in the `build` folder contained within it exists as `.html` after running the `make.jl` file. | ||
| These are specifically the "index" file with more files in sub folders. | ||
| ## Contributions | ||
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| Contributions are very welcome. These could be typos, bugreports, feature-requests, speed-optimization, new solvers, better code, better documentation. | ||
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| ### How-to Contribute | ||
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| You are very welcome to raise issues and start pull requests! | ||
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| ### Adding Documentation | ||
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| 1. 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](https://documentation.divio.com/)). | ||
| 2. Literate.jl converts the `.jl` file to a `.md` automatically and places it in `docs/src/generated/FOLDER/FILENAME.md`. | ||
| 3. Edit [make.jl](https://github.com/unfoldtoolbox/Unfold.jl/blob/main/docs/make.jl) with a reference to `docs/src/generated/FOLDER/FILENAME.md`. | ||
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| ## Citation | ||
| If you make use of theses visualizations, please cite [](https://doi.org/10.5281/zenodo.6531996) | ||
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| ## Authors | ||
| If you make use of theses visualizations, please cite: | ||
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| [](https://doi.org/10.5281/zenodo.6531996) | ||
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| It was authored by `Benedikt Ehinger` and has been worked upon by students and doctoral researchers within the context of a university project (`Fachpraktikum: Methods in Computational EEG`) at the University of Stuttgart. | ||
| ## Contributors (alphabetically) | ||
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| The student names are: | ||
| - Baumgartner, Daniel | ||
| - Döring, Sören | ||
| - Gärtner, Niklas | ||
| - **Daniel Baumgartner** | ||
| - **Benedikt Ehinger** | ||
| - **Sören Döring** | ||
| - **Niklas Gärtner** | ||
| - **Vladimir Mikheev** | ||
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| Doctoral reserchers: | ||
| - Vladimir Mikheev | ||
| ## Acknowledgements | ||
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| ## Funding | ||
| Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project ID 251654672 – TRR 161 (project D05) | ||
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| Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – EXC 2075 – 390740016 | ||
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you are a contributor too :)
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So far only because I updated the readme, no? Didn't think that would justify being on the list 👀