TY - DATA T1 - Modeling code accompanying the ENeuro paper entitled "Neurodynamic Evidence Supports a Forced-Excursion Model of Decision-Making under Speed/Accuracy Instructions" PY - 2018/05/14 AU - Laure Spieser AU - Carmen Kohl AU - Sven Bestmann AU - Bettina Forster AU - Kielan Yarrow UR - https://city.figshare.com/articles/software/Modeling_code_accompanying_the_ENeuro_paper_entitled_Neurodynamic_Evidence_Supports_a_Forced-Excursion_Model_of_Decision-Making_under_Speed_Accuracy_Instructions_/6222500 DO - 10.25383/city.6222500.v1 L4 - https://ndownloader.figshare.com/files/11444048 KW - EEG KW - TMS KW - MEPs KW - sensory decision making KW - computational models KW - sequential sampling models KW - Biological Psychology (Neuropsychology, Psychopharmacology, Physiological Psychology) KW - Decision Making KW - Neuroscience and Physiological Psychology KW - Cognitive Science not elsewhere classified N2 - 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. ER -