better md 9

git push

joss_paper/paper.bib

@@ -272,7 +272,8 @@ @article{JSSv107i04
 }
 
 @software{Schepers_UnfoldSim_jl,
-author = {Schepers, Judith and Lips, Luis and Marathe, Maanik and Ehinger, Benedikt},
-title = {{UnfoldSim.jl}},
-url = {https://github.com/unfoldtoolbox/UnfoldSim.jl}
+  author = {Schepers, Judith and Lips, Luis and Marathe, Maanik and Ehinger, Benedikt},
+  title = {{UnfoldSim.jl}},
+  year={2024},
+  url = {https://github.com/unfoldtoolbox/UnfoldSim.jl}
 }

joss_paper/paper.md

@@ -93,7 +93,7 @@ and two Unfold-specific plots: Design matrices and Spline plots.
 
 There are dozens of libraries in Python and MATLAB for ERP analysis and visualization. According to a recent survey [@mikheev2024art], most EEG practitioners (82%) have experience with MATLAB-based tools like `EEGLAB` [@delorme2004eeglab], `FieldTrip` [@oostenveld2011fieldtrip], `ERPLAB` [@lopez2014erplab] and Brainstorm [@tadel2019meg]. The Python-based `MNE` [@Gramfort_MEG_and_EEG_2013] (41%) and the commercial software `Brain Vision Analyzer` (22%) further showed strong popularity. None of these toolboxes focuses particularly on visualizations. Indeed, in terms of specialized EEG visualization toolboxes, we are aware of only two such libraries, both MATLAB-based and both named `eegvis` [@robbins2012eegvis] and [@ehigner_2018eegvis]. 
 
-Few EEG/ERP analysis and/or visualization libraries have been written in Julia. We are aware of `NeuroAnalyzer.jl` [@Wysokinski_NeuroAnalyzer], `EEGToolkit.jl` [@Pereyra_EEGToolkit], `Neuroimaging.jl` [@Luke_Neuroimaging]. There are also (traces)["https://julianeuro.github.io/packages"] of several abandoned projects. Worth highlighting is `PyMNE.jl`, a wrapper for the Python-MNE toolbox. [@pymne_jl]
+Few EEG/ERP analysis and/or visualization libraries have been written in Julia. We are aware of `NeuroAnalyzer.jl` [@Wysokinski_NeuroAnalyzer], `EEGToolkit.jl` [@Pereyra_EEGToolkit], `Neuroimaging.jl` [@Luke_Neuroimaging]. There are also [traces](https://julianeuro.github.io/packages) of several abandoned projects. Worth highlighting is `PyMNE.jl`, a wrapper for the Python-MNE toolbox. [@pymne_jl]
 
 However, all these packages are focused on the analysis of EEG data, while our package is specialized on the visualization of ERPs and rERPs. This is the gap that `UnfoldMakie.jl` fills.