Auditory and Visual Rhythm Omission EEG
…separate out predictive neural activity from sensory evoked neural activity. The study…
- Participants
- 18
- Channels
- 32 (10-10)
- Size
- 1.95 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "neural coding" · page 5 of 10 · ranked by relevance
…separate out predictive neural activity from sensory evoked neural activity. The study…
This dataset comprises EEG recordings and concurrent audio data collected during speech production and auditory listening tasks. Participants performed overt speech vocalization, passive listening to prerecorded speech, and covert speech imagery tasks while EEG was recorded using three different acquisition systems (g.tec g.Pangolin, g.SCARABEO, and ANT Neuro eego sports). The dataset supports brain decoding research investigating the neural correlates of speech perception and production.
This dataset contains intracranial electrophysiology recordings and behavioral data from a categorized free recall task with real-time closed-loop brain stimulation during encoding. Participants studied semantically organized word lists, performed distractor tasks, and freely recalled items while a machine learning classifier trained on prior sessions predicted subsequent memory performance and triggered stimulation for low-confidence encoding events. The study demonstrates the application of predictive neural decoding to modulate memory encoding through targeted electrical stimulation.
…that research emphasizes measures of neural activity during memory retention. The primary…
This dataset comprises intracranial electrophysiological recordings and behavioral data from a categorized free recall task with open-loop electrical brain stimulation during encoding. Participants studied semantically organized word lists (12 items from 3 categories, 4 words per category) followed by a distractor task and free recall. Stimulation was delivered to hippocampal and entorhinal cortex electrodes during encoding on 20 of 25 lists per session, with detailed stimulation parameters recorded for each trial.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003703-blue…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003694-blue…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005672-blue…
This dataset comprises simultaneous intracranial EEG, scalp EEG, and beamforming-reconstructed source data from fifteen epilepsy patients performing a verbal working memory task. Subjects completed a modified Sternberg task with temporally separated encoding, maintenance, and recall phases. The dataset includes electrode coordinates, anatomical labels, and trial-level behavioral information, enabling investigation of working memory mechanisms through multimodal electrophysiological recordings and source reconstruction.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005777-blue…