Fig. 3: Behavioural performance and posterior predictive checks in the Go/No-go task. | Nature Human Behaviour

Fig. 3: Behavioural performance and posterior predictive checks in the Go/No-go task.

From: Dynamic computational phenotyping of human cognition

Fig. 3: Behavioural performance and posterior predictive checks in the Go/No-go task.The alternative text for this image may have been generated using AI.

a, Accuracy over time. Both overall accuracy (left) and accuracy in different task conditions (right) increased over time (except for the ‘Go to win’ condition, which was already at ceiling). We fit the data with a power-law curve and report the P value of \({R}_{\rm{adj}}^{2}\) based on 10,000 random permutations of the session order. Error bars show the s.e.m. across participants. b, Posterior predictive checks. We used the parameter estimates from the independent model to predict the probability of taking a ‘Go’ action in different task conditions. Model fits (red) closely matched behaviour (black). Real and predicted data were averaged across blocks, sessions and participants. Predicted data were also averaged across samples of the posterior distribution. Shaded areas show the s.e.m. across participants.

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