Urai et al. (2019) Choice history biases subsequent evidence accumulation. eLife, in press

Code and data forUrai AE, de Gee JW, Tsetsos K, Donner TH (2018) Choice history biases subsequent evidence accumulation. eLife, in press.• raw data files have the name of each dataset (see Figure 2 and Methods for details)• _hddmfits.csv has single-subject and group-level MAP estimates for all models described in the paper. Column names indicate parameter_modelname.• _gsquarefits.csv, same as above but for non-hierarchical g-square fits (Supplementary Figure 4a). Rather than a group-level DIC value, each individual fit lists a BIC and likelihood estimate,• visual_motion_2afc_fd_motion-energy-filter.mat, single-trial timecourses of motion energy (up - down) estimated from frame-by-frame dot coordinates.• visual_motion_2afc_fd_extendedfits.csv, fits for all extended models (Figure 7). column names indicate model type and parameter estimate for each subject.