High-level visual areas in ventral temporal cortex (VTC) support recognition of important
categories, such as faces and words. Word-selective regions are left lateralized and emerge …

Everyone agrees that environments influence learning, but only a small percentage of
studies of cognitive development relate children's specific learning environments to their …

Young children develop sophisticated internal models of the world based on their visual
experience. Can such models be learned from a child's visual experience without strong …

There have been sustained efforts toward using naturalistic methods in developmental
science to measure infant behaviors in the real world from an egocentric perspective …

Large language models like GPT-4 have achieved remarkable proficiency in a broad
spectrum of language-based tasks, some of which are traditionally associated with …

Environments are dynamic and complex. Some children experience more predictable early
life environments than others. Here, we consider how moment-by-moment complexity and …

What structures children's early language environment? Large corpora of child-centered
naturalistic recordings provide an important window into this question, but most available …

Cross-cultural developmental research is crucial for understanding the roots of human
cognition. Although group-level analyses can reveal how culture co-varies with cognition …

Human children far exceed modern machine learning algorithms in their sample efficiency,
achieving high performance in key domains with much less data than current models …

Daylong egocentric (ie, child-centered) recordings promise an unprecedented view into the
experiences that drive early language learning, impacting both assumptions and theories …