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In the processing of spoken narratives, bottom-up acoustic cues and top-down linguistic knowledge separately contribute to neural construction of linguistic units.

The proposed method deciphers which low-level patterns (such as spikes) control high-level features (behavior) in relative small biological datasets, taking into account the statistical dependencies between such patterns.

Increasing semantic relationships with old information accelerates learning and enhances memory for new information and increases the likelihood of both old and new information being recalled together.

Scientific abstracts have become less readable over the past 130 years, in part because recent texts include more general scientific jargon than older texts.

A cross-cultural study of reading acquisition and reading irmpairment reveals the invariance of the neural correlates of reading across cultures.

A computational model reveals how response properties of category-selective regions in the visual cortex reflect both bottom-up stimulus-driven signals and top-down attentional signals from the parietal cortex.

Full-text analysis of the human brain-imaging literature can predict the spatial distribution of observations in the brain given the description of a subject of study.

Human perception and brain responses differ between words, in which mouth movements are visible before the voice is heard, and words, for which the reverse is true.

Speech processing engages multiple predictive models, using sublexical, word- and sentence contexts in parallel to anticipate upcoming phonemes.

Historical analysis of nearly half-a-million articles from the Journal of the American Medical Association and the New England Journal of Medicine since their inception frames the shifting scientific, material, ethical, and epistemic underpinnings of medicine over time, including today.