…The data were collected to investigate the neural mechanisms underlying working memory…
EEG dataset from an instruction-following study in which participants received novel verbal instructions combining integration or selection of animate and inanimate images, a relevant feature (color or shape), and a response key. Each participant completed a main instruction-following task and a 1-back localizer task in a single session. The dataset supports investigation of neural representations of novel instructions.
EEG dataset on auditory streaming and interoception, collected at the University of Chicago and organized in BIDS format. The README gives few details of the experimental design, so the description rests mainly on the dataset name and metadata.
…Intracranial EEG recordings from 9 human adults during a memory-guided actions…
EEG dataset investigating whether episodic future thinking can reduce temporal discounting. Participants described a series of personal future events and were then cued to think about these events while making intertemporal choices. They also rated the vividness of their mental imagery for each event.
…Electrophysiological signatures underlying variability in human memory consolidation", CC BY 4.0…
EEG dataset on auditory streaming and interoception, collected at the University of Chicago by Veillette, Joshi, Li, and Nusbaum. Data are organized in BIDS format (BrainVision files) and released under a CC0 license.
An intracranial EEG (iEEG) dataset recorded from ten epilepsy patients undergoing invasive monitoring for seizure localization. Participants played five sessions of Speed Match, a visuomotor game on the Lumosity platform, during interictal recording. Continuous iEEG recordings are provided in EDF format with channel information and event markers for finger tapping.
…Disarming emotional memories using Targeted Memory Reactivation during Rapid Eye Movement sleep…
EEG recordings from 18 participants who separately listened to auditory rhythms and watched visual flashing rhythms. The stimulus trains contained occasional omissions, which allowed predictive neural activity to be separated from sensory-evoked activity. The dataset supports study of the predictive mechanisms of rhythm perception. Code for preprocessing, time-frequency computation, frequency band extraction and statistics is provided.