Visual statistical learning (VSL) describes how humans automatically and implicitly become
sensitive to the statistics of visual input in the absence of supervision or reinforcement …

While research on visual statistical learning (VSL) is divided into two distinct lines
investigating the learning of temporal and spatial regularities separately, such a distinction …

Visual statistical learning (VSL), the unsupervised learning of statistical contingencies
across time and space, may play a key role in efficient and predictive encoding of the …

Recent studies of visual statistical learning (VSL) have indicated that the visual system can
automatically extract the temporal and spatial relationships between objects. We report …

Visual statistical learning describes the unintentional extraction of statistical regularities from
visual environments across time or space, and is typically studied using novel stimuli (eg …

The environment contains considerable information that is distributed across space and
time, and the visual system is remarkably sensitive to such information via the operation of …

Statistical learning refers to the process of extracting regularities from the world without
feedback. What are the necessary conditions for statistical learning to arise? It has been …

Visual statistical learning (VSL) refers to our ability to extract and use environmental
regularities to guide visual perception and behavior. Previous research on VSL has …

Emerging research has demonstrated that statistical learning is a modality-specific ability
governed by domain-general principles. Yet limited research has investigated different forms …

Visual statistical learning (VSL) has been proposed as a powerful mechanism underlying
the striking ability of human observers to handle complex visual environments. Previous …