The default mode network (DMN) is classically considered an 'intrinsic'system, specializing
in internally oriented cognitive processes such as daydreaming, reminiscing and future …

Using movies and narratives as naturalistic stimuli in human neuroimaging studies has
yielded significant advances in understanding of cognitive and emotional functions. The …

Much research in cognitive neuroscience supports prediction as a canonical computation of
cognition across domains. Is such predictive coding implemented by feedback from higher …

Deep language algorithms, like GPT-2, have demonstrated remarkable abilities to process
text, and now constitute the backbone of automatic translation, summarization and dialogue …

Cognitive Neuroscience of Language provides an up-to-date, wide-ranging, and
pedagogically practical survey of the most important developments in this exciting field. It …

Neural decoding models can be used to decode neural representations of visual, acoustic,
or semantic information. Recent studies have demonstrated neural decoders that are able to …

Due to the explosion of new sources of human language data and the rapid progression of
computational methods for extracting meaning from natural language, language analysis is …

What role do domain-general executive functions play in human language comprehension?
To address this question, we examine the relationship between behavioral measures of …

Public culture is a powerful source of cognitive socialization; for example, media language is
full of meanings about body weight. Yet it remains unclear how individuals process …

Although subjective construal (ie, our personal understanding of situations and the people
and objects within them) has been an enduring topic in social psychology, its underlying …