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Implicit Learning of Temporal Behavior in Complex Dynamic Environments
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Description: In this study, we aimed to measure more naturalistic timing behavior by designing a paradigm in which a regular interval is embedded in a stream of irregularly timed events. We found that participants automatically adapted to this regularity, without being able to report it afterwards. In this way, we provide direct evidence that regularities in the time between the events we encounter in our daily life can be used to decide when to act, whilst remaining undetected.
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