Cognitive neuroscience has traditionally focused on simple tasks, presented sparsely and
using abstract stimuli. While this approach has yielded fundamental insights into functional …

To date, fMRI research has been concerned primarily with evincing generic principles of
brain function through averaging data from multiple subjects. Given rapid developments in …

Naturalistic experimental paradigms in neuroimaging arose from a pressure to test the
validity of models we derive from highly-controlled experiments in real-world contexts. In …

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

The “Narratives” collection aggregates a variety of functional MRI datasets collected while
human subjects listened to naturalistic spoken stories. The current release includes 345 …

In the last decade, major advances have been made in the availability of shared
neuroimaging data, such that there are more than 8,000 shared MRI (magnetic resonance …

Word embeddings are real-valued word representations able to capture lexical semantics
and trained on natural language corpora. Models proposing these representations have …

Neuroscientific studies exploring real-world dynamic perception often overlook the influence
of continuous changes in narrative content. In our research, we utilize machine learning …

Highlights•Trade-off between sampling individual variation versus experimental
variation.•Different studies have allocated resources differently.•We argue that wide …

The function of the human hippocampus is normally investigated by experimental
manipulation of discrete events. Less is known about what triggers hippocampal activity …