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What to expect where and when: How statistical learning drives visual selection
While the visual environment contains massive amounts of information, we should not and
cannot pay attention to all events. Instead, we need to direct attention to those events that …
cannot pay attention to all events. Instead, we need to direct attention to those events that …
Statistical learning research: A critical review and possible new directions.
Statistical learning (SL) is involved in a wide range of basic and higher-order cognitive
functions and is taken to be an important building block of virtually all current theories of …
functions and is taken to be an important building block of virtually all current theories of …
Individual differences in language acquisition and processing
Humans differ in innumerable ways, with considerable variation observable at every level of
description, from the molecular to the social. Traditionally, linguistic and psycholinguistic …
description, from the molecular to the social. Traditionally, linguistic and psycholinguistic …
Infant statistical learning
Perception involves making sense of a dynamic, multimodal environment. In the absence of
mechanisms capable of exploiting the statistical patterns in the natural world, infants would …
mechanisms capable of exploiting the statistical patterns in the natural world, infants would …
Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning
A growing literature suggests that the hippocampus is critical for the rapid extraction of
regularities from the environment. Although this fits with the known role of the hippocampus …
regularities from the environment. Although this fits with the known role of the hippocampus …
PONG: A computational model of visual word recognition through bihemispheric activation.
J Snell - Psychological Review, 2024 - psycnet.apa.org
Orthographic processing is an open problem. Decades of visual word recognition research
have fueled the development of various theoretical frameworks. Although these frameworks …
have fueled the development of various theoretical frameworks. Although these frameworks …
Implicit statistical learning: A tale of two literatures
MH Christiansen - Topics in cognitive science, 2019 - Wiley Online Library
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 …
standing question in psychology and cognitive science of how organisms pick up on …
Direct and indirect effects of multilingualism on novel language learning: An integrative review
Z Hirosh, T Degani - Psychonomic bulletin & review, 2018 - Springer
Accumulated recent research suggests that prior knowledge of multiple languages leads to
advantages in learning additional languages. In the current article, we review studies …
advantages in learning additional languages. In the current article, we review studies …
Statistical learning of language: A meta‐analysis into 25 years of research
Statistical learning is a key concept in our understanding of language acquisition. Ample
work has highlighted its role in numerous linguistic functions—yet statistical learning is not a …
work has highlighted its role in numerous linguistic functions—yet statistical learning is not a …
Redefining “learning” in statistical learning: What does an online measure reveal about the assimilation of visual regularities?
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 possible “statistical” properties that are the object of learning. Much less attention has …