…Considerable research on interpersonal trust has revealed measurable patterns of physiological change…
Beetl2021-B is a preprocessed 32-channel EEG dataset from the NeurIPS 2021 BEETL competition, built to benchmark transfer learning for motor imagery decoding. It contains recordings from 2 healthy subjects performing four-class motor imagery (left hand, right hand, feet, rest) at 200 Hz, totaling 1590 trials. The dataset supports evaluation of cross-subject and cross-dataset generalization and domain adaptation in brain-computer interfaces.
[ with 22 EEG channels at 512 Hz. It supports the study of transfer learning for brain-computer interface skill acquisition, comparing unsupervised Generic Recentering and supervised Personally Assisted Recentering for calibration-free training. Participants performed left/right hand motor imagery with continuous visual feedback.
…took place at the Meditation Research Institute (MRI) in Rishikesh, India, under…
A multi-session dataset of simultaneous EEG-fMRI recorded from 24 healthy adults aged 18-35 while they performed a gradual-onset continuous performance task (GradCPT) and a resting-state condition with intermittent multidimensional experience sampling. The same protocol was repeated on two days. Carbon wire loop sensors in the EEG cap support artifact removal. The dataset also includes ECG, behavioral responses, and mental health surveys. It supports study of attentional fluctuations, mind-wandering, and the test-retest reliability of EEG-fMRI relationships.
…Ethics ------ This study received ethics approval from the University of Alberta Research…
The Penn Electrophysiology of Encoding and Retrieval Study (PEERS) characterizes behavioral and electrophysiological correlates of memory encoding and retrieval in highly practiced individuals. Across five PEERS experiments, more than 300 subjects contributed over 7,000 ninety-minute memory testing sessions with EEG. This dataset includes three free recall experiments: ltpFR (PEERS1-3), ltpFR2 (PEERS4), and VFFR (PEERS5).