Implicit learning and statistical learning are two contemporary approaches to the long‐
standing question in psychology and cognitive science of how organisms pick up on …

Both human and nonhuman organisms are sensitive to statistical regularities in sensory
inputs that support functions including communication, visual processing, and sequence …

From a theoretical perspective, most discussions of statistical learning (SL) have focused on
the possible “statistical” properties that are the object of learning. Much less attention has …

The computations involved in statistical learning have long been debated. Here, we build on
work suggesting that a basic memory process, chunking, may account for the processing of …

Extracting the temporal structure of sequences of events is crucial for perception, decision-
making, and language processing. Here, we investigate the mechanisms by which the brain …

Procedural learning is a fundamental cognitive function that facilitates efficient processing of
and automatic responses to complex environmental stimuli. Here, we examined training …

During visual word processing readers identify chunks of co-occurring letters and code for
their typical position within words. Using an artificial script, we examined whether these …

The human brain is constantly subjected to a multimodal stream of probabilistic sensory
inputs. Electroencephalography (EEG) signatures, such as the mismatch negativity (MMN) …

Procedural learning facilitates the efficient processing of complex environmental stimuli and
contributes to the acquisition of automatic behaviors. Although earlier findings suggest …

Statistical learning is a powerful ability that extracts regularities from our environment and
makes predictions about future events. Using functional magnetic resonance imaging, we …