…In half of the trials, two of these colors (predictive) cued two…
…BigP3BCI Study P — 9x8 predictive/non-predictive spelling (19 ALS subjects). Dataset…
…Mapping the Dynamics of Visual Feature Coding: Insights into Perception and Integration…
EEG recordings from 10 able-bodied participants, plus a feasibility recording from one participant with spinal cord injury, performing attempted lower-arm movements to control a continuous 2D cursor trajectory. Each of the able-bodied participants completed three sessions comprising offline calibration and online feedback with 50% and 100% EEG control. The dataset supports regression-based trajectory decoding, learning effects across sessions, and source-localization analyses for brain-computer interface research.
…Dynamics of visual object coding within and across the hemispheres: Objects in…
This dataset contains behavioral events and intracranial electrophysiology (iEEG) recordings from a categorized free recall task with closed-loop electrical stimulation during encoding. Participants studied lists of semantically categorized words, completed arithmetic distractors, and freely recalled the words. Stimulation was triggered by a classifier trained on each participant's prior encoding data to predict subsequent recall. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.
…of a study of the predictive mechanisms of rhythm perception by using…
This dataset contains behavioral events and intracranial EEG recordings from a delayed free recall task with closed-loop electrical stimulation delivered during word encoding. A logistic regression classifier trained on participants' prior free recall sessions predicts subsequent recall from encoding-period neural activity, and stimulation is triggered when predicted recall is low. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.
…However, previous evidence supports two seemingly contradictory models of how a predictive…
Magnetoencephalography (MEG) recordings from participants listening to 16-item binary sound sequences of varying complexity, used to test a language-of-thought account of compression in human working memory. Sequences were defined by minimal description length (transition probabilities, chunking, or nested structures), and occasional deviant sounds probed participants' knowledge of each sequence. The data accompany a study reporting that MEG and fMRI responses scale with sequence complexity.