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) <i>Choice history biases subsequent evidence accumulation. eLife, </i>in press.<br>• raw data files have the name of each dataset (see Figure 2 and Methods for details)<br>• <i>_hddmfits.csv</i> has single-subject and group-level MAP estimates for all models described in the paper. Column names indicate parameter_modelname.• <i>_gsquarefits.csv</i>, 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,• <i>visual_motion_2afc_fd_motion-energy-filter.mat</i>, single-trial timecourses of motion energy (up - down) estimated from frame-by-frame dot coordinates.<i>• visual_motion_2afc_fd_extendedfits.csv</i>, fits for all extended models (Figure 7). column names indicate model type and parameter estimate for each subject.<br><br>