**Data.zip**
Raw data is available in the Data.zip file. Participant numbers 5** are Autistic, all other numbers are neurotypicals. The important columns for analysis are 'Subject' (column 2) which gives the participant number, 'Trial' (column 26) which gives the trial number in that block, 'Logging.ACC' (column 28) which gives the accuracy on that trial (1 for correct, 0 for incorrect), 'Logging.RT' (column 34) which gives the response time in milliseconds and 'TrialType' which give the condition and inter-trial interval: the first letter gives the previous target modality (v = visual, t = tactile, a = auditory) and the second letter gives the current target modality.
**Individual Data Processing**
R code used for processing individual raw data files to give median RT for analysis and .dat files for diffusion modelling. This also includes code for identifying group level outliers.
**Group Processing**
R code used for collating individual files, producing Figures 1 and 2 and analysing the RT data. This code also produces **RTData.csv** which is the aggregated RT data.
**Analysis of DDM Parameters**
Diffusion model parameters were estimated using fast-dm-30 (see https://www.psychologie.uni-heidelberg.de/ae/meth/fast-dm/). The control file used for modeling (experiment.ctrl) and parameter estimates for each participant (DDM Parameters) are included.
Estimated model parameters were used to predict RTs. Cumulative distribution functions of the predictive RT are overlaid those of the measured RT for each participant in the **Supplementary Materials.doc** file.
R code is used to plot figure 5 and analyse DDM parameter.
