Fig. 1

Target Detection task. A Target Detection consisted of a Go/No Go paradigm using Tetris-style stimuli developed by Guan and Firestone (2020) [22]. Stimuli were made up of “complete” blocks (Target/ Go), disjointed blocks (No Go), and neutral incomplete blocks (No Go). No Go trials containing disjoined blocks could be further categorized as potential (two disjointed blocks that could logically fit together to form a complete block) and no potential trials (two disjointed blocks that cannot be combined to form a coherent block). Participants were instructed to press a button in response to the target trials. Correct hits led to the border turning green for 200 ms, while false alarms led to a red border being displayed. Examples of correct and wrong trials are shown in the figure. The experiment consisted of 84 trials with each trial lasting 600 ms and separated by an inter trial interval of 1200 ms. B False Alarm Rates (z-scored). False alarms across all No Go trials (potential and no potential) and group (Autism in red and Control in blue) were first z-scored separately per experimental dataset. This figure shows the z-scored False Alarm Rate combined across datasets. Error bars represent ± 1 SEM C) Signal detection theory analysis results showing posterior distributions of the discriminability index (d’) values for Autism (in red) and Control (in blue) groups