LittlePrince_MEG_French_Listen_Pallier2025
…al. “Le Petit Prince Multilingual Naturalistic fMRI Corpus.” Scientific Data, vol. 9…
- Participants
- 58
- Citations
- 39
- Size
- 446 GB
- Version
- v1.0.0
- Updated
- Jun 14, 2026
…al. “Le Petit Prince Multilingual Naturalistic fMRI Corpus.” Scientific Data, vol. 9…
…driver's braking intention before behavioral response. - **DOI**: 10.1088/1741-2560…
EEG dataset investigating whether episodic future thinking can reduce temporal discounting. Participants described a series of personal future events and were then cued to think about these events while making intertemporal choices. They also rated the vividness of their mental imagery for each event.
…listening to 6 hours of naturalistic stories; 2. high-resolution structural (T1…
EEG dataset from forty participants who read an interactive story containing decision points. On each trial participants saw an item, made a yes/no decision, and received correct or incorrect feedback. The design compares a narrative condition, with story context at item onset and after feedback, against a nonnarrative condition with no such context. It is intended for studying how narrative context affects reward and feedback processing.
[ or both at 70 Hz (control, no illusion). Each participant completed three blocks of 72 randomized three-second stimulations.
…listened to two hours of naturalistic stories. Each participant performed two identical…
This dataset contains raw and processed magnetoencephalography (MEG) recordings from a study of model-based aversive learning in humans. The study examines how learning about aversive outcomes is supported by preferential reactivation of task states. Raw data are provided as .fif files, alongside derived processed data.