Le Petit Prince (LPP) Multi-talker: Naturalistic 7T fMRI and EEG Dataset
[ and chose the title from a four-option multiple choice display, receiving visual feedback on correctness. The dataset includes synchronized audio reconstructions of what each participant heard, supporting research on music familiarity and recognition.
…set to the mean f0s used for the speech The code for…
Magnetoencephalography (MEG) recordings from participants listening to 16-item binary sound sequences of varying complexity, used to test a language-of-thought account of compression in human working memory. Sequences were defined by minimal description length (transition probabilities, chunking, or nested structures), and occasional deviant sounds probed participants' knowledge of each sequence. The data accompany a study reporting that MEG and fMRI responses scale with sequence complexity.
EEG recordings from 14 healthy participants performing a visual P300 oddball BCI task for controlling a Bluetooth speaker, one of several home appliances in the original study. The task used a 6-class flash-stimulus paradigm on an LCD display. Data were recorded from 31 channels at 500 Hz, with 50 training and 30 testing blocks per subject. The dataset supports research on ERP-based BCIs for home appliance control and inter-subject transfer learning.
EEG dataset investigating the neural representation of consciously seen and unseen information. The recordings were collected by Rodríguez-San Esteban, Chica, and González-López and are shared in BIDS format. The dataset is mirrored on NEMAR from OpenNeuro (ds005273).
…https://github.com/maddoxlab/Music_vs_Speech_abr ## Format This dataset is…