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The current paper presents an extension of the Parallel Episodic Processing model. The model is developed for simulating behaviour in performance (i.e., speeded response time) tasks and learns to anticipate both how and when to respond based on retrieval of memories of previous trials. With one fixed parameter set, the model is shown to successfully simulate a wide range of different findings. These...
In performance-based measures of implicit contingency learning, learning effects have been observed very early in the task (e.g., within a few trials) and remain stable throughout the experiment. This has been taken to suggest that the contingency knowledge underlying the learning effects is formed almost instantly and does not develop further across trials. One potential concern with the available...
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