…The agent's intention and semantic congruency were manipulated orthogonally, leading to…
NeuroMorph is a magnetoencephalography (MEG) dataset with high temporal resolution, designed for morpheme-based linguistic analysis. It contains recordings from 24 participants, totaling over 17 hours of data, acquired with a 208-channel KIT/Yokogawa magnetometer system. The dataset supports research on the neural processing of morphology during language comprehension.
…Using data from cue presentations results in grossly overestimating semantic BCI performance…
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.
A clinical intracranial EEG (iEEG) dataset from 12 epilepsy surgery patients drawn from the RESPect (Registry for Epilepsy Surgery Patients) collection at the University Medical Center Utrecht. It includes six intraoperative ECoG recordings and six long-term recordings (three ECoG, three SEEG). The data are organized in BIDS, with session and run conventions that capture the surgical stage or the monitoring day and time, and the task labels describe the patient's state.
…Note that due to a miscommunication during the study, alignment information between…
Preprocessed 64-channel EEG recordings from six healthy participants performing imagined speech of a short word ('in') versus a long word ('cooperate'). The data were band-pass and notch filtered and cleaned of EOG artifacts. They were used to classify imagined speech with Riemannian manifold covariance features and relevance vector machines for brain-computer interface applications. The dataset is re-hosted in BIDS format through the MOABB benchmark collection.
Resting-state functional near-infrared spectroscopy (fNIRS) recordings from the Cambridge_data_resting dataset, originally deposited on OpenNeuro (ds007719) by Emilia Butters and mirrored on NEMAR. The dataset is organized according to BIDS and contains 66 files (about 8.62 GB) of continuous fNIRS data in SNIRF format, with accompanying JSON and TSV sidecar files describing channels, optodes, and events. Detailed information on participants, acquisition hardware, and experimental protocol is not provided in the available documentation.
…with 50 pictures in the Semantic category and 50 in the Identity…
Preprocessed stereo-EEG (sEEG) recordings from 12 epilepsy patients reading 61 Chinese words aloud, packaged in BIDS from the Du-IN release (Zheng et al., NeurIPS 2024). The data are the authors' band-pass filtered, resampled, bipolar-referenced 3-second word-labelled epochs, stored back to back in BrainVision files, with word labels and English translations in the events files. The dataset supports research on speech decoding from intracranial neural signals.