Statistical or sequential learning (SL) involves
comprehending environmental patterns in which some items
precede other items with a given likelihood. SL is thought to
occur without attention or consciousness (or explicit
knowledge) of the learned patterns and thus is sometimes
considered to be implicit learning. However, this assumption
is still debatable (Daltrozzo & Conway, 2014). We examined
the role of selective attention and pattern consciousness (PC)
in SL using event-related potentials (ERP) with healthy
adults. Thirty-four participants (27 females, 18-49 years)
performed a Flanker task to assess their level of selective
attention, followed by a visual SL task while ERPs were
recorded. Participants’ level of PC was assessed via a
questionnaire. In the SL task, participants viewed a sequence
of different stimuli on the screen and were instructed to press
a button as fast as possible, when they saw a target stimulus.
They were unaware that: 1.) two predictor items were
embedded in the sequence and 2.) the items predicted target
occurrence with high or low probability. ERPs were timelocked
to predictor onsets. The mean ERP between 200 and
700ms post-predictor onset revealed an interaction between
target occurrence probability, PC, attention, and two scalp
topographic factors. Post-hoc tests indicated that higher
attention was related to a more rostral left lateralized effect
under high PC and a left lateralization of SL ERP effects
under low PC. These neural findings suggest that both
attention and PC modulate SL.