These are the MATLAB output files for each sample in the study. ## Files ## There are two files for each sample analysed in the study. One file corresponds to the single-episode model (M1), and the other to the dual-episode model (M2). In the folder *Berkeley Subset*, there are two files for each of the item rates tested in the Berkeley subset of six participants. ## Variables ## Each file contains a large number of variables. These are all explained in the comments of the model code. The most important of the variables give the parameter estimates for T1 and T2. Each of these is a three-dimensional matrix. The first dimension separates data by participant. The second separates data by lag. The third separates data by parameter. Thus the entry (1,2,3) would correspond to the third parameter at the second lag for the first participant. - **allT1T2Estimates_byParticipant** gives the parameter estimates for the combined T1 and T2 distribution. - **allT1Estimates_byParticipant** gives the parameter estimates for the T1 distribution. - **allT2Estimates_byParticipant** gives the parameter estimates for the T2 distribution. The parameters are: - **1** Episode-1 Efficacy - **2** Episode-1 Latency - **3** Episode-1 Precision - **4** Episode-2 Efficacy (*M2 only*) - **5** Episode-2 Latency (*M2 only*) - **6** Episode-2 Precision (*M2 only*)