Serial reaction time
Serial reaction time is a commonly used parameter for measuring implicit learning. In a SRT task, participants are asked to repeatedly respond to a fixed set of stimuli in which each cue signals that a particular response needs to be made. Unbeknownst to the participant, there are probabilities governing the transition between the cues, and thus required responses following one cue have some predictability. As a result, reaction time to these cues becomes increasingly fast as subjects learn and utilize these transition probabilities.
Combined with artificial grammar learning methods, this paradigm has been used to study a range of learning phenomena including language structure learning, memory, and syntactic priming
