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 …

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

Departing from traditional linguistic models, advances in deep learning have resulted in a
new type of predictive (autoregressive) deep language models (DLMs). Using a self …

We are continuously bombarded by external inputs of various timescales from the
environment. How does the brain process this multitude of timescales? Recent resting state …

Our capacity to jointly represent information about the world underpins our social
experience. By leveraging one individual's brain activity to model another's, we can measure …

Multimodal evidence suggests that brain regions accumulate information over timescales
that vary according to anatomical hierarchy. Thus, these experimentally defined “temporal …

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

We process and integrate multiple timescales into one meaningful whole. Recent evidence
suggests that the brain displays a complex multiscale temporal organization. Different …

Understanding the brain requires us to answer both what the brain does, and how it does it.
Using a series of examples, I make the case that behavior is often more useful than …

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