…10.82901/nemar.on004315) Reinforcement learning task with 50 healthy controls (25…
MEG dataset from a logical reasoning study collected by the Cognitive and Computational Neuroscience Laboratory (UPM - UCM). The dataset is organized in BIDS format and mirrored on NEMAR from the OpenNeuro deposit ds003483.
ZuCo 2.0 provides simultaneous 128-channel EEG and eye-tracking recordings from adult native English speakers reading natural Wikipedia sentences. Two paradigms are included: normal reading and task-specific reading with annotation of semantic relations. The data are organized in BIDS with gaze and pupil samples as physiological recordings and fixations, saccades and blinks as events.
This dataset contains behavioral events and intracranial EEG recordings from neurosurgical patients performing a categorized free recall task. Participants studied lists of words drawn from semantic categories, completed arithmetic distractors, and freely recalled the words. Open-loop electrical stimulation was delivered to hippocampal and entorhinal sites during alternating two-word blocks at encoding, with stimulation parameters recorded in the event files.
…electroencephalography, EEG analysis, machine learning, end-to-end learning, brain-machine interface…
This dataset contains 64-channel EEG recorded from 31 healthy participants performing a two-class (left vs. right hand) motor imagery task. Each participant completed up to three sessions of 40 trials. The recordings are part of a multimodal collection that also includes eye-tracking and high-speed video, intended for analyzing ocular activity across BCI paradigms. Events are annotated with HED, and the data are organized in BIDS format via MOABB.
[ 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.