updated paper

joss_paper/paper.md

@@ -168,7 +168,7 @@ In Python, `MNE-Python` [@GramfortEtAl2013a] provides some tutorials to simulate
 In contrast to these tools, `UnfoldSim.jl` has a higher-level perspective, uniquely focusing on the regression-ERP aspect. `UnfoldSim.jl` provides functions to simulate multi-condition experiments, uniquely allows for modeling hierarchical, that is, multi-subject EEG datasets, and offers support to model continuous EEG data with overlapping events.
 
 # Acknowledgements
-Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – EXC 2075 – 390740016. The authors further thank the International Max Planck Research School for Intelligent Systems (IMPRS-IS) for supporting Judith Schepers.
+Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – EXC 2075 – 390740016. The authors further thank the International Max Planck Research School for Intelligent Systems (IMPRS-IS) for supporting Judith Schepers. Moreover, the authors would like to thank Tanja Bien for her valuable feedback on the paper manuscript.
 
 # Package references
 Please note that we only mention the main dependencies of the toolbox here, but the dependencies of the dependencies can be found in the respective `Manifest.toml` files. Furthermore, please note that we only list rather than cite the packages for which we could not find any citation file or instruction.