Modeling code accompanying the ENeuro paper entitled "Neurodynamic Evidence Supports a Forced-Excursion Model of Decision-Making under Speed/Accuracy Instructions"
softwareposted on 14.05.2018 by Laure Spieser, Carmen Kohl, Sven Bestmann, Tina Forster, Kielan Yarrow
Code as a research output can either be uploaded directly from your computer or through the code management system GitHub. Versioning of code repositories is supported.
Matlab code (developed using 2015-2017 versions) used to fit quantile RT data with several versions of a race (two accumulator) sequential-sampling model, and produce predictions for EEG and TMS MEP signals. This process is fully described in the ENeuro paper entitled "Neurodynamic Evidence Supports a Forced-Excursion Model of Decision-Making under Speed/Accuracy Instructions." Code is being archived for the purpose of improving methodological transparency. It has not been commented or optimized with a view to use by third parties. For TMS/MEP data, the final part of the processing pipeline (re-scaling the predicted signal magnitude to match MEP data) will not run, as full MEP data are not included here. Please contact the authors of the paper for further information.