Over the past 20 years, the field of cognitive neuroscience has relied heavily on hemodynamic
measures of blood oxygenation in local regions of the brain to make inferences about …

Prior to the advent of fMRI, the primary means of examining the mechanisms underlying
learning were restricted to studying human behavior and non-human neural systems. However, …

This report is the second part of a comprehensive two-part series aimed at reviewing an
extensive and diverse toolkit of novel methods to explore brain health and function. While the …

Recent theoretical work emphasizes the role of expectation in neural processing, shifting
the focus from feed-forward cortical hierarchies to models that include extensive feedback (eg, …

Implicit statistical learning (ISL) is exclusive to neither a particular sensory modality nor a
single domain of processing. Even so, differences in perceptual processing may substantially …

… To the best of our knowledge, Emberson, Richards, and Aslin (2015) is the only study that
provides evidence that expectation, or a representation of what will occur in the future, can …

Why are people more irritated by nearby cell-phone conversations than by conversations
between two people who are physically present? Overhearing someone on a cell phone …

… In the present work, we applied the xMVPA inference mechanism for the explainable
classification analysis of infant fNIRS data obtained from an earlier study by Emberson et al. . In this …

… We modeled the current task after Emberson et al. (2015) which was designed to investigate
predictions, specifically those initiated by top-down neural signals. During familiarisation, …

Statistical learning (SL), sensitivity to probabilistic regularities in sensory input, has been
widely implicated in cognitive and perceptual development. Little is known, however, about the …