CastillosCVEP40
…sliding windows, bitwise decoding Cross-Validation ---------------- Evaluation type: offline Performance (Original Study…
- Participants
- 12
- Citations
- 21
- HED
- v8.4.0
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- 143 MB
- Version
- v1.0.0
- Updated
- Jun 3, 2026
100 results for "brain decoding" · page 9 of 10 · ranked by relevance
…sliding windows, bitwise decoding Cross-Validation ---------------- Evaluation type: offline Performance (Original Study…
This event-related potential (ERP) study investigates semantic and syntactic language processing in deaf readers by examining neural responses to grammatical violations and semantic anomalies. Participants viewed 180 sentences presented in rapid serial visual presentation (RSVP) format while EEG was recorded, with conditions including subject-verb agreement violations, semantic violations, combined violations, word-order violations, and correct control sentences. The research provides insights into the neural mechanisms underlying language comprehension in deaf populations.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005170-blue…
Imported from OpenNeuro ds003645
…parameter optimization Abstract -------- The decoding of brain signals recorded via, e.g…
This multimodal neuroimaging dataset investigates the neural mechanisms of metacognition—the ability to assess decision confidence—by isolating postdecisional from decisional contributions. Healthy volunteers performed perceptual judgments and observed decisions while reporting confidence, with concurrent electroencephalography and functional magnetic resonance imaging recordings. The study reveals dissociable neural correlates of confidence in prefrontal regions and proposes a computational model explaining how decision commitment enhances metacognitive performance.
…Alljoined -- A dataset for EEG-to-Image decoding. <https://doi.org/10…
…EEG recorded with BrainProducts LiveAmp 32-channel system at 500 Hz. Four…
BigP3BCI Study R is a P300-based brain-computer interface dataset comprising EEG recordings from 20 ALS subjects performing a 9x8 character grid speller task across two sessions. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 32-channel EEG with a g.USBamp amplifier and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.
…Department of Brain and Cognitive Engineering Address: 145 Anam-ro, Seongbuk-gu…