pupillometric_and_RT_data.csv

Here you can find the data related to paper manuscript entitled <b>Choice under conflict: relating pupil dilation and the deliberately explorative choices in the probabilistic learning task</b>.<br>This dataframe contains the data after filtering and z-scoring. Each row represents single trial.<br><b>Variable description:</b>fname - subject codetime - time of trial startblock - serial block number text - full event codeRT - response time before Z-transformationrisk - TRUE and FALSE - disadvantageous and advantageous choice respectively rew - TRUE and FALSE - gain and loss in current trial respectivelylearning - TRUE and FALSE - trials during learning and without learning trained - TRUE and FALSE - trials after learning criteria reached and all other respectivelyscheme - type of reinforcement schemetrial_type_seq - choice type for uninterrupted sequences place - place of experiment (inside or outside MEG chamber)feedback_cur - cur_rew and cur_lose - gain and loss in current trial feedback_prev - prev_rew and prev_lose - gain and loss in previous trial RT_Z - Z-scored RT trial_type4 - Choice type<br> BL_fix_m300 - mean pre-trial pupil size <br>from V_m1999_m1950 to V_2951_3000 - pupil size averaged within 50-ms intervals (0 ms-response, m-minus)<br>resp_m299_0, resp_m399_2200 etc - pupil size averaged within particular intervals<br> <br><br><br><br><br><br>