@ARTICLE{Hunt2001,
  author = {RH Hunt and Richard N Aslin},
  title = {Statistical learning in a serial reaction time task: {A}ccess to
	separable statistical cues by individual learners.},
  journal = {J Exp Psychol Gen},
  year = {2001},
  volume = {130},
  pages = {658-80},
  number = {4},
  abstract = {The ability of adult learners to exploit the joint and conditional
	probabilities in a serial reaction time task containing both deterministic
	and probabilistic information was investigated. Learners used the
	statistical information embedded in a continuous input stream to
	improve their performance for certain transitions by simultaneously
	exploiting differences in the predictability of 2 or more underlying
	statistics. Analysis of individual learners revealed that although
	most acquired the underlying statistical structure veridically, others
	used an alternate strategy that was partially predictive of the sequences.
	The findings show that learners possess a robust learning device
	well suited to exploiting the relative predictability of more than
	I source of statistical information at the same time. This work expands
	on previous studies of statistical learning, as well as studies of
	artificial grammar learning and implicit sequence learning.},
  keywords = {Adult, Cues, Female, Human, Learning, Male, Reaction Time, Statistics,
	Support, U.S. Gov't, Non-P.H.S., 11757874}
}

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