Liu2020 – BETA SSVEP benchmark dataset
…nemar.nm000129) # BETA SSVEP benchmark dataset BETA SSVEP benchmark dataset. ## Dataset Overview…
- Participants
- 70
- Channels
- 64 (10-10)
- Citations
- 97
- HED
- v8.4.0
- Size
- 7.72 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
31 results for "SSVEP" · page 2 of 4 · ranked by relevance
…nemar.nm000129) # BETA SSVEP benchmark dataset BETA SSVEP benchmark dataset. ## Dataset Overview…
…Maye, "Application of a single-flicker online SSVEP BCI for spatial navigation…
…9-target SSVEP speller - **Number of classes**: 9 - **Class labels**: 8, 9…
…Tian, "A large database towards user-friendly SSVEP-based BCI," Brain Science…
…3 of 40 had prior SSVEP-BCI experience ## Experimental Protocol - **Paradigm**: ssvep…
…Ming, "Enhancing SSVEP-BCI Performance Under Fatigue State Using Dynamic Stopping Strategy…
…82901/nemar.nm000126) # SSVEP Wang 2016 dataset SSVEP Wang 2016 dataset. ## Dataset…
…SSVEP (ssvep) — 10 Hz LED, 1 min Run 06: Motor execution — 20…
A code-modulated visual evoked potential (cVEP) brain-computer interface dataset from 30 healthy participants performing an offline BCI task with a calculator grid stimulus. This derivative dataset demonstrates a calibration-free approach that progressively reduces training data requirements, ultimately achieving zero-training performance through neural encoding models while maintaining classification accuracy comparable to traditional event-related potential methods.
A longitudinal EEG dataset comprising event-related potentials (ERPs) from 15 healthy participants performing a rapid serial visual presentation (RSVP) face authentication task. The dataset includes 4 sessions per subject collected over 200 days, with 57-channel EEG recordings at 1000 Hz sampling rate. Participants discriminated between self-face and AI-generated faces in a p300-based identity authentication paradigm, yielding approximately 160 target and 6240 non-target trials per session. This derivative dataset was generated from raw EEG data using MOABB 1.5.0 and is organized in BIDS format.