…associated with subject specific head models. See the corresponding publication for more…
The MNE-somato-data somatosensory MEG dataset converted to BIDS format using MNE-BIDS. It includes an anonymized MEG recording with an anatomical T1-weighted MRI. Derivatives contain FreeSurfer recon-all reconstructions, scalp and watershed BEM surfaces, and a forward model for source analysis.
…This study contains open-loop electrical stimulation of the brain during encoding…
…Results indicate that VSWM sequence encoding is related to later (~700 ms…
…the P300 speller using language models. PLoS ONE, 12(4), e0175382. https…
The FRESH Audio Dataset is a functional near-infrared spectroscopy (fNIRS) 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.
…The development of subject-independent models eliminates the need to collect data…
This dataset contains EEG recordings paired with vocal audio recordings from participants performing an overt speech production task, in which they read aloud visually presented text. It was collected to support brain decoding of speech from EEG. The data are organized in BIDS by recording date session and run, and include code for preprocessing, model training, and evaluation, as well as derivative outputs from a standard preprocessing pipeline.
…on004395) The Penn Electrophysiology of Encoding and Retrieval Study (PEERS) aimed to…
A multi-modal face processing dataset combining simultaneously recorded MEG and EEG with structural MRI from 18 participants. Participants viewed famous, unfamiliar, and scrambled faces and made a symmetry judgment by button press. The data are a curated repackaging of the MEEG portion of ds000117, with reorganized event logs, Hierarchical Event Descriptor (HED) annotations, and EEGLAB-format EEG.