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 …

Constraints on statistical learning across species

C Santolin, JR Saffran - Trends in Cognitive Sciences, 2018 - cell.com
Both human and nonhuman organisms are sensitive to statistical regularities in sensory
inputs that support functions including communication, visual processing, and sequence …

Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons

I Higgins, L Chang, V Langston, D Hassabis… - Nature …, 2021 - nature.com
In order to better understand how the brain perceives faces, it is important to know what
objective drives learning in the ventral visual stream. To answer this question, we model …

Sample size, statistical power, and false conclusions in infant looking‐time research

LM Oakes - Infancy, 2017 - Wiley Online Library
Infant research is hard. It is difficult, expensive, and time‐consuming to identify, recruit, and
test infants. As a result, ours is a field of small sample sizes. Many studies using infant …

[HTML][HTML] Learning beyond sensations: How dreams organize neuronal representations

N Deperrois, MA Petrovici, W Senn, J Jordan - … & Biobehavioral Reviews, 2024 - Elsevier
Semantic representations in higher sensory cortices form the basis for robust, yet flexible
behavior. These representations are acquired over the course of development in an …

The multi-component nature of statistical learning

J Arciuli - … Transactions of the Royal Society B: Biological …, 2017 - royalsocietypublishing.org
The central argument presented in this paper is that statistical learning (SL) is an ability
comprised of multiple components that operate largely implicitly. Components relating to the …

The infant motor system predicts actions based on visual statistical learning

CD Monroy, M Meyer, L Schröer, SA Gerson… - NeuroImage, 2019 - Elsevier
Motor theories of action prediction propose that our motor system combines prior knowledge
with incoming sensory input to predict other people's actions. This prior knowledge can be …

When learning goes beyond statistics: Infants represent visual sequences in terms of chunks

LK Slone, SP Johnson - Cognition, 2018 - Elsevier
Much research has documented infants' sensitivity to statistical regularities in auditory and
visual inputs, however the manner in which infants process and represent statistically …

[HTML][HTML] Reporting standard for describing first responder systems, smartphone alerting systems, and AED networks

MP Müller, C Metelmann, KC Thies, R Greif… - Resuscitation, 2024 - Elsevier
Standardized reporting of data is crucial for out-of-hospital cardiac arrest (OHCA) research.
While the implementation of first responder systems dispatching volunteers to OHCA is …

The origins of moral sensitivities: Probing infants' expectations, evaluations, generalization, and enforcement of moral norms

JA Sommerville - Adv Child Dev Behav, 2024 - books.google.com
The origins of moral sensitivities: Probing infants' expectations, evaluations, generalization,
and enforcement of moral norms Page 48 CHAPTER TWO The origins of moral sensitivities …