BNCI 2015-003 P300 dataset
…eliminates the necessity for visual representation. In up to two sessions, a…
- Participants
- 10
- Channels
- 8 (10-10)
- Citations
- 81
- HED
- v8.4.0
- Size
- 20.7 MB
- Version
- vv1.0.1
- Updated
- Jul 10, 2026
100 results for "neural representation" · page 7 of 10 · ranked by relevance
…eliminates the necessity for visual representation. In up to two sessions, a…
A synchronized multimodal neuroimaging dataset containing concurrent fMRI and MEG recordings from 12 Mandarin Chinese speakers during naturalistic story listening, supplemented with high-resolution structural imaging, diffusion MRI, and resting-state fMRI. The dataset includes rich linguistic annotations of stimuli encompassing word frequencies, syntactic structures, temporal alignments, and embeddings from multiple pre-trained language models, enabling comprehensive investigation of neural mechanisms underlying language processing.
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…Identification of perceived sentences using deep neural networks in EEG. Journal of…
…for the study 'A common neural mechanism underlies experiences of passage of…
This dataset comprises intracranial electrophysiological recordings and behavioral data from a paired associates memory task with open-loop electrical brain stimulation applied during encoding or retrieval phases. Participants studied word pairs, performed a distractor task, and completed cued recall, with stimulation delivered to hippocampal and entorhinal cortex electrodes on randomly assigned lists. The dataset enables investigation of how targeted electrical stimulation affects memory encoding and retrieval processes.
…separate out predictive neural activity from sensory evoked neural activity. The study…
…We introduce the “Podcast” electrocorticography (ECoG) dataset for modeling neural activity supporting…