EEG recordings from 20 participants performing a novel finger motor imagery paradigm in which cues for individual fingers were presented in random and sequential order blocks. The order of blocks was counterbalanced across participants. Data were acquired with a 65-channel g.tec system at 512 Hz and organized in BIDS format.
…Item-level oscillatory dynamics during the recall of VSWM sequences were related…
Magnetoencephalography (MEG) dataset from a study of episodic memory retrieval, in which participants recalled episodes while neural activity was recorded. The data support analyses of rapid neural replay of episode content during successful retrieval. The dataset includes a memory phase and a localizer phase, with trigger channels marking stimulus categories and answer onsets.
…Participants viewed rapid sequences of overlaid oriented grating pairs while detecting a…
A magnetoencephalography (MEG) dataset from a frequency-tagging study of syntactic structure and lexical properties in language processing. The recordings are organized in BIDS format and are intended for investigating neural tracking of linguistic structure.
…The participant´s EEG data were collected from 90 sequences for part…
MorseEEG-ATP is a multitask EEG dataset for studying auditory temporal processing and temporal pattern discrimination using Morse code stimuli. It contains synchronized 62-channel EEG and behavioral data from 32 healthy adults performing dot-count and first-last match discrimination tasks at three presentation rates (15, 30, and 40 characters per minute). The release includes raw and minimally preprocessed EEG, event annotations, behavioral measures, and analysis scripts in an EEG-BIDS structure.
…Due to potential variability in triggering the device, the sequences remain in…
MEG-SCANS provides raw and MaxFiltered magnetoencephalography recordings from 24 German-speaking participants who listened to about one hour of auditory stimuli. The stimuli were two audiobooks, 120 Oldenburg Matrix Sentence Test (OLSA) sentences at varying intelligibility levels, and short up-chirps for signal quality assessment. The dataset also includes empty-room recordings, structural MRI, audiograms, speech reception threshold results, and audio stimulus material. It is organized in BIDS and intended as a benchmark for encoding and decoding analyses of brain responses to speech.
This dataset contains behavioral events and intracranial electrophysiological (iEEG) recordings from a repeated-item free recall task. Participants studied visually presented word lists, each containing 27 encoding events drawn from 12 unique words repeated one, two, or three times. After a 7-second delay they freely recalled the words in any order. Data were collected at clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.