Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …

Abstract Language behaviour is complex, but neuroscientific evidence disentangles it into
distinct components supported by dedicated brain areas or networks. In this Review, we …

Fatigue has been defined differently in the literature depending on the field of research. The
inconsistent use of the term fatigue complicated scientific communication, thereby limiting …

To understand the architecture of human language, it is critical to examine diverse
languages; however, most cognitive neuroscience research has focused on only a handful …

The default mode network (DMN) is a set of widely distributed brain regions in the parietal,
temporal and frontal cortex. These regions often show reductions in activity during attention …

Abstract Systems neuroscience approaches with a focus on large-scale brain organization
and network analysis are advancing foundational knowledge of how cognitive control …

Prediction is often regarded as an integral aspect of incremental language comprehension,
but little is known about the cognitive architectures and mechanisms that support it. We …

Abstract Concepts of cognitive control (CC) and executive function (EF) are defined in terms
of their relationships with goal-directed behavior versus habits and controlled versus …

Transformer models such as GPT generate human-like language and are predictive of
human brain responses to language. Here, using functional-MRI-measured brain responses …

Discoveries over the past two decades demonstrate that regions distributed throughout the
association cortex, often called the default network, are suppressed during tasks that …