Le Petit Prince (LPP) Multi-talker: Naturalistic 7T fMRI and EEG Dataset
[ dataset in BIDS format, collected with auditory stimulation. It was contributed by Robert Luke, Maureen Shader and David McAlpine and is also available through OpenNeuro. The README gives no further detail, and an accompanying publication is noted as in preparation.
EEG recordings from 16 healthy, BCI-naive participants using a motion visually evoked potential (mVEP) speller for gaze-independent communication. Three speller variants were compared: Overt Cake Speller, Covert Cake Speller, and Motion Center Speller. Each used a two-level selection among 30 symbols. The dataset includes practice, calibration, copy-spelling and free-spelling sessions with target and non-target events, recorded from 63 channels. It is a preprocessed derivative distributed in BIDS format.
SINGSING is a simultaneous EEG and MEG dataset from twenty adult participants who listened to harmonic complex sounds that varied in frequency in an auditory oddball paradigm. It supports investigation of pre-attentive pitch processing at sensor and source levels, and allows comparison of EEG and MEG recordings acquired at the same time.
The "Podcast" electrocorticography (ECoG) dataset captures intracranial neural activity from 9 participants (1,330 grid, depth, and strip electrodes) who listened to a 30-minute naturalistic story containing over 5,000 words. It includes raw recordings, a minimally preprocessed high-gamma version, the auditory stimuli, an aligned word-level transcript, and linguistic features ranging from acoustic properties to large language model embeddings. Tutorials replicating prior findings are provided to support research on natural language comprehension.
…Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals…
EEG dataset from the PURSUE project containing an N400 word processing task, recorded from participants at three primarily undergraduate institutions (Southern California, Massachusetts, and Virginia) in 2017 and 2018. The task design follows the ERP CORE paradigm. The dataset supports event-related potential research on semantic word processing.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005932-blue…
This dataset contains intracranial recordings acquired in humans using the CorTec BrainInterchange implantable device together with BCI2000 software. It supports the development of an ecosystem of technology and protocols for adaptive neuromodulation research. The data are shared in BIDS format with iEEG recordings.
…analyzed to detect onsets of speech using Praat v5.3.13(University…