Diffuse predictions stabilize and reshape neural code during memory encoding
…In half of the trials, two of these colors (predictive) cued two…
- Participants
- 47
- Channels
- 66 (10-10)
- Size
- 145 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
28 results for "predictive coding" · page 1 of 3 · ranked by relevance
…In half of the trials, two of these colors (predictive) cued two…
…Dynamics of visual object coding within and across the hemispheres: Objects in…
This dataset comprises continuous 2D trajectory decoding from attempted arm movements recorded via 60-channel EEG from 10 participants (9 able-bodied, 1 with spinal cord injury) across 3 sessions. Participants performed motor imagery tasks including target-tracking (snakerun) and self-paced shape tracing (freerun) with visual feedback. The preprocessed data, sampled at 20 Hz after extensive artifact removal and filtering, is designed for regression-based continuous decoding research and investigation of learning effects across sessions.
…Mapping the Dynamics of Visual Feature Coding: Insights into Perception and Integration…
This dataset comprises intracranial EEG recordings and behavioral events from a categorized free recall task with closed-loop electrical stimulation applied during encoding. Participants studied word lists organized by semantic category, performed arithmetic distractor tasks, and freely recalled words, while a classifier trained on prior encoding data determined stimulation delivery based on predicted memory encoding success. Data were collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania, as part of the DARPA Restoring Active Memory (RAM) project.
…of a study of the predictive mechanisms of rhythm perception by using…
This dataset contains behavioral events and intracranial electrophysiology recordings from a delayed free recall task with closed-loop electrical stimulation delivered during encoding, guided by a classifier trained on encoding data. Participants studied lists of visually presented words, performed arithmetic distractor tasks, and then freely recalled the words. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania, and represent a closed-loop stimulation extension of the FR1 and FR2 free recall datasets.
…Auditory Cueing extended the Baseline Driving paradigm by adding predictive and non…
…Nine-class auditory ERP paradigm with predictive text entry system (PASS2D). Users…
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