What to expect where and when: How statistical learning drives visual selection

J Theeuwes, L Bogaerts, D van Moorselaar - Trends in cognitive sciences, 2022 - cell.com
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 …

Statistical learning research: A critical review and possible new directions.

R Frost, BC Armstrong, MH Christiansen - Psychological Bulletin, 2019 - psycnet.apa.org
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 …

Domain generality versus modality specificity: The paradox of statistical learning

R Frost, BC Armstrong, N Siegelman… - Trends in cognitive …, 2015 - cell.com
Statistical learning (SL) is typically considered to be a domain-general mechanism by which
cognitive systems discover the underlying distributional properties of the input. However …

[图书][B] Teaching and researching: Listening

M Rost - 2013 - taylorfrancis.com
Teaching and Researching Listening provides a focused, state-of-the-art treatment of the
linguistic, psycholinguistic and pragmatic processes that are involved in oral language use …

Statistical learning as an individual ability: Theoretical perspectives and empirical evidence

N Siegelman, R Frost - Journal of memory and language, 2015 - Elsevier
Although the power of statistical learning (SL) in explaining a wide range of linguistic
functions is gaining increasing support, relatively little research has focused on this …

Statistical learning of language: Theory, validity, and predictions of a statistical learning account of language acquisition

LC Erickson, ED Thiessen - Developmental Review, 2015 - Elsevier
Considerable research indicates that learners are sensitive to probabilistic structure in
laboratory studies of artificial language learning. However, the artificial and simplified nature …

Measuring individual differences in statistical learning: Current pitfalls and possible solutions

N Siegelman, L Bogaerts, R Frost - Behavior research methods, 2017 - Springer
Most research in statistical learning (SL) has focused on the mean success rates of
participants in detecting statistical contingencies at a group level. In recent years, however …

Towards a theory of individual differences in statistical learning

N Siegelman, L Bogaerts… - … Transactions of the …, 2017 - royalsocietypublishing.org
In recent years, statistical learning (SL) research has seen a growing interest in tracking
individual performance in SL tasks, mainly as a predictor of linguistic abilities. We review …

Individual differences in statistical learning predict children's comprehension of syntax

E Kidd, J Arciuli - Child development, 2016 - Wiley Online Library
Variability in children's language acquisition is likely due to a number of cognitive and social
variables. The current study investigated whether individual differences in statistical learning …

Integrating robot ethics and machine morality: the study and design of moral competence in robots

BF Malle - Ethics and Information Technology, 2016 - Springer
Robot ethics encompasses ethical questions about how humans should design, deploy, and
treat robots; machine morality encompasses questions about what moral capacities a robot …