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 …

Finding events in a continuous world: A developmental account

D Levine, D Buchsbaum, K Hirsh‐Pasek… - Developmental …, 2019 - Wiley Online Library
Event segmentation is a fundamental process of human cognition that organizes the
continuous flux of activity into discrete, hierarchical units. The mechanism of event …

Making sense of the world: Infant learning from a predictive processing perspective

M Köster, E Kayhan, M Langeloh… - Perspectives on …, 2020 - journals.sagepub.com
For human infants, the first years after birth are a period of intense exploration—getting to
understand their own competencies in interaction with a complex physical and social …

Action prediction during real‐time parent‐infant interactions

C Monroy, CH Chen, D Houston… - Developmental science, 2021 - Wiley Online Library
Social interactions provide a crucial context for early learning and cognitive development
during infancy. Action prediction—the ability to anticipate an observed action—facilitates …

Early cognitive development: Five lessons from infant learning

S Hunnius - Oxford research encyclopedia of psychology, 2022 - oxfordre.com
Young children develop at a breathtaking rate. Within just a few years, they change from
helpless newborns into schoolchildren with all the abilities and skills needed to start formal …

The development of sensorimotor intelligence in infants

C von Hofsten, K Rosander - Advances in child development and behavior, 2018 - Elsevier
Infancy is the most dynamic part of human development. During this period, all basic
sensorimotor and cognitive abilities are established. In this chapter, we will trace some of the …

Network structure influences the strength of learned neural representations

AE Kahn, K Szymula, S Loman, EB Haggerty… - Nature …, 2025 - nature.com
From sequences of discrete events, humans build mental models of their world. Referred to
as graph learning, the process produces a model encoding the graph of event-to-event …

[HTML][HTML] Predictive coding and attention in developmental cognitive neuroscience and perspectives for neurodevelopmental disorders

AL Marais, N Roche-Labarbe - Developmental Cognitive Neuroscience, 2025 - Elsevier
Sensory prediction and repetition suppression are closely related cognitive mechanisms that
allow the brain to form predictions about the environment, and guide perception in synergy …

[HTML][HTML] A predictive processing framework of tool use

M van Elk - cortex, 2021 - Elsevier
In this paper I introduce the theory of predictive processing as a unifying conceptual
framework to account for the human ability to use and innovate tools. I explain the basic …

Learning from others: The effects of agency on event memory in young children

LH Howard, T Riggins, AL Woodward - Child development, 2020 - Wiley Online Library
Little is known about the influence of social context on children's event memory. Across four
studies, we examined whether learning that could occur in the absence of a person was …