Researchers have become increasingly aware that data-analysis decisions affect results.
Here, we examine this issue systematically for multinomial processing tree (MPT) models, a …

This article aims to continue the debate on how explicit, conscious knowledge can arise in
an implicit learning situation. We review hitherto existing theoretical views and evaluate their …

Environmental events often occur on a probabilistic basis but can sometimes be predicted
based on specific cues and thus approached proactively. Incidental statistical learning …

The current study investigated whether people can simultaneously acquire knowledge about
concrete chunks and abstract structures in implicit sequence learning; and whether the …

The main objective of this study was to influence implicit learning through two different
classical manipulations and to inspect whether working memory capacity (WMC) and …

Implicit learning (IL) deals with the non-conscious acquisition of structural regularities from
the environment. IL is often deemed essential for acquiring regularities followed by social …

In implicit sequence learning, a process-dissociation (PD) approach has been proposed to
dissociate implicit and explicit learning processes. Applied to the popular generation task …

Everyday multitasking often is characterized by predictable sequences. While such
sequential regularities are present in setups using the Serial Reaction Time Task (SRTT) …

Human adults have the ability to extract regularities through implicit learning, resulting in
nonconscious knowledge, or through explicit learning, leading to conscious and reportable …

Researchers have become increasingly aware that data-analysis decisions affect results.
Here, we examine this issue systematically for multinomial processing tree (MPT) models, a …