…Frontiers in Human Neurosciences, In press. Contact Questions regarding the EEG data…
This dataset contains behavioral events and electrophysiological (EEG) recordings from a hybrid spatial-navigation and free recall experiment in which participants act as couriers delivering items to stores in a virtual town and later recall their deliveries. Sessions were either read-only, used to collect training data, or closed-loop, in which classifier predictions of memory encoding were used to time stimulus presentation. It represents the non-invasive portion of a project aimed at improving memory through closed-loop stimulus timing optimization.
This dataset contains intracranial recordings acquired in humans using the CorTec BrainInterchange implantable device together with BCI2000 software. It supports the development of an ecosystem of technology and protocols for adaptive neuromodulation research. The data are shared in BIDS format with iEEG recordings.
…Journal of Neuroscience, 10.1523/JNEUROSCI.0022-24.2024 The dataset is…
This dataset contains EEG recordings from 20 healthy participants in Study G of the bigP3BCI collection, a large open P300-based brain-computer interface resource. Participants used a 9x8 character grid speller with checkerboard/dynamic stimulus presentation. Data were recorded with 16 EEG channels at 256 Hz, and target and non-target events are annotated with HED tags. The recordings support machine learning development for P300 speller BCIs.
This dataset is Study R of bigP3BCI, a large open P300-based brain-computer interface collection. It contains 32-channel EEG recorded from 20 participants over two sessions each, using a 9x8 multi-face speller grid with target and non-target flashes. The data are standardized in BIDS and prepared for machine learning and benchmarking of P300 speller decoding.
…Journal of Neuroscience Methods, 162(1–2), 8–13. https://doi.org…
Multimodal dataset of 29 participants watching six educational videos under two conditions: an attentive session with intentional learning and subsequent factual questions, and a distracted session with a silent backward-counting task. Recordings include EEG, EOG, ECG, gaze, pupil size, blinks, saccades and head position. Questionnaires (stimulus knowledge questions and the ASRS adult ADHD checklist) are provided. The dataset supports research on attention and learning from video.
…Hermes, Nature Neuroscience, 2023, https://doi.org/10.1038/s41593-023-01272…
The Brain Treebank is a large-scale dataset of intracranial (stereo-EEG) recordings from 10 epilepsy patients who watched Hollywood movies. Signals were sampled at 2048 Hz from 1,688 electrodes in total, across 26 movie trials and about 43 hours of data. The movie audio was transcribed with manually annotated word onsets, and each transcript was parsed into Universal Dependencies syntax trees. This makes the dataset a resource for studying the neural basis of naturalistic language. This record provides the data in BIDS-iEEG format.