How does the brain learn environmental structure? Ten core principles for understanding the neurocognitive mechanisms of statistical learning

CM Conway - Neuroscience & Biobehavioral Reviews, 2020 - Elsevier
Despite a growing body of research devoted to the study of how humans encode
environmental patterns, there is still no clear consensus about the nature of the …

Is there such a thing as a 'good statistical learner'?

L Bogaerts, N Siegelman, MH Christiansen… - Trends in cognitive …, 2022 - cell.com
A growing body of research investigates individual differences in the learning of statistical
structure, tying them to variability in cognitive (dis) abilities. This approach views statistical …

Working memory for spatial sequences: Developmental and evolutionary factors in encoding ordinal and relational structures

H Zhang, Y Zhen, S Yu, T Long, B Zhang… - Journal of …, 2022 - Soc Neuroscience
Sequence learning is a ubiquitous facet of human and animal cognition. Here, using a
common sequence reproduction task, we investigated whether and how the ordinal and …

[HTML][HTML] Perceiving structure in unstructured stimuli: Implicitly acquired prior knowledge impacts the processing of unpredictable transitional probabilities

A Kóbor, Z Kardos, D Nemeth, K Janacsek - Cognition, 2020 - Elsevier
It is unclear how implicit prior knowledge is involved and remains persistent in the extraction
of the statistical structure underlying sensory input. Therefore, this study investigated …

What exactly is learned in visual statistical learning? Insights from Bayesian modeling

N Siegelman, L Bogaerts, BC Armstrong, R Frost - Cognition, 2019 - Elsevier
It is well documented that humans can extract patterns from continuous input through
Statistical Learning (SL) mechanisms. The exact computations underlying this ability …

Tracking the implicit acquisition of nonadjacent transitional probabilities by ERPs

A Kóbor, K Horváth, Z Kardos, Á Takács, K Janacsek… - Memory & …, 2019 - Springer
The implicit acquisition of complex probabilistic regularities has been found to be crucial in
numerous automatized cognitive abilities, including language processing and associative …

The evolution of chunks in sequence learning

L Tosatto, J Fagot, D Nemeth, A Rey - Cognitive Science, 2022 - Wiley Online Library
Chunking mechanisms are central to several cognitive processes and notably to the
acquisition of visuo‐motor sequences. Individuals segment sequences into chunks of items …

Non‐adjacent dependencies processing in human and non‐human primates

R Malassis, A Rey, J Fagot - Cognitive Science, 2018 - Wiley Online Library
Human and non‐human primates share the ability to extract adjacent dependencies and,
under certain conditions, non‐adjacent dependencies (ie, predictive relationships between …

[PDF][PDF] Качество институтов: проблемы определения и оценки

ВЛ Тамбовцев - Вопросы экономики, 2021 - researchgate.net
Анализируются современные представления о понятии качества институтов и
формулируется его обобщенное и операциональное понимание. Обоснована …

Learning higher‐order transitional probabilities in nonhuman primates

A Rey, J Fagot, F Mathy, L Lazartigues… - Cognitive …, 2022 - Wiley Online Library
The extraction of cooccurrences between two events, A and B, is a central learning
mechanism shared by all species capable of associative learning. Formally, the …