…that were found to be predictive of symptoms consistent with attention-deficit…
This dataset contains 128-channel EEG recordings acquired while participants produced one of five color words (green, magenta, orange, violet, yellow) under overt, minimally overt, and covert speech conditions. Each trial comprises five repetitions of the same word. Auxiliary channels (EOG, orbicularis oris EMG, microphone, display, trigger) support delineating neural versus non-neural contributions to EEG-based speech decoding. Sessions include calibration data for decoder training and online real-time decoding.
[. It was collected by a group studying pain and sensorimotor neuroscience, and it is shared in BIDS format under a CC0 license.
…periods of driver fatigue via predictive algorithms formulated from the analysis of…
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).
…periods of driver fatigue via predictive algorithms formulated from the analysis of…
EEG and motion-capture dataset from 19 participants performing a haptic interaction task in virtual reality, in which participants touched virtual objects while visual, vibrotactile, and electrical muscle stimulation feedback was varied. Some trials were designed as oddball conflicts to elicit prediction error responses. The recordings support research on the neural correlates of prediction errors and on detecting unrealistic interactions in cyber-physical systems.