…Data were analyzed using Riemannian manifold methods and relevance vector machines for…
…Riemannian manifold methods and relevance vector machines for brain-computer interface applications…
…Using Support Vector Machines (SVMs) with L1 regularization, we achieved cross-context…
…manifold-based feature extraction and relevance vector machine classification, achieving approximately 49…
…one event per constant segment of the source stim vector; `trial_type…
…analyzed using Riemannian manifold and relevance vector machine approaches for brain-computer…
This dataset contains EEG recordings from phoneme discrimination tasks combined with transcranial magnetic stimulation (TMS) of the motor cortex. It merges two studies: a 2019 study of consonant-vowel and vowel-consonant pairs in 8 participants, and a 2021 study in 16 participants that added single phonemes, real words and pseudowords. It is intended to support research on speech decoding and the role of articulation and coarticulation in speech perception.
A BIDS conversion of a multicenter intracranial EEG (iEEG) dataset of 3-second single-channel clips for classifying graphoelements (physiological and pathological activity) and artifactual signals. Clips were recorded from stereo-EEG contacts at 5000 Hz and concatenated into runs per subject and contact. Events preserve the original labels, segment IDs, anatomy, reviewer IDs, seizure onset zone flags, and electrode types.
Magnetoencephalography (MEG) recordings from participants performing auditory single word recognition. The dataset accompanies a study of auditory word comprehension in isolated words and is organized in BIDS format. Stimuli and TextGrids come from the Massive Auditory Lexical Decision database.
This dataset contains functional near-infrared spectroscopy (fNIRS) recordings collected during a word-color Stroop task using a sparse fNIRS montage. It accompanies a study comparing high-density, multi-distance fNIRS with sparse configurations for detecting task-related brain activity. The data are organized in BIDS format and are mirrored on NEMAR from OpenNeuro.