EEG-attention-rsvp-exp1
…al 2021 experiment 1 (small letters on big objects) Grootswagers T., Robinson…
- Participants
- 20
- Citations
- 22
- Size
- 23.3 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
…al 2021 experiment 1 (small letters on big objects) Grootswagers T., Robinson…
…2 (small objects on big letters) Grootswagers T., Robinson A.K., Shatek…
EEG and eye-tracking dataset from 30 participants who searched for objects in real-world scenes or intentionally memorized objects in other scenes, then completed a surprise recognition memory test. The study asks whether the search superiority effect reflects purely stronger memory or also qualitative differences in recollection versus familiarity. The data include FN400 and LPC ERP components, remember-know judgments, and receiver operating characteristics. Behavioral data are split into encoding and memory testing phases.
This dataset contains 64-channel EEG recordings and behavioural ratings from four participants who read and evaluated 210 short English-language texts: Haiku, Senryu, and non-poetic control texts. Each text was rated on aesthetic appeal, vivid imagery, being moved, originality, and creativity. These participants' recordings were acquired in segments because of session interruptions and were concatenated during preprocessing. They are released as a companion to the main Poetry Assessment EEG Dataset 1 for completeness and transparency.
…The 14 characters in the letter stream were then intensified one at…
…1500 ms)", "23": "onset of letter stream; lag 3 trial (duration: 1375…
…math=1, letter=2, rotation=3, count=4, baseline=5 - **Trial interval…
Simultaneous EEG and fMRI recordings from healthy volunteers who reported their confidence in the accuracy of decisions they either committed themselves or merely observed. The dataset supports analysis of postdecisional contributions to metacognition and includes raw fMRI, BrainVision EEG, T1 anatomical scans and field maps, along with preprocessed EEG and fMRI derivatives.
EEG recordings from 13 healthy participants performing a copy-spelling task with a visual 6x7 matrix ERP speller. The speller was designed for learning from label proportions (LLP), an unsupervised, calibrationless classification approach for ERP-based brain-computer interfaces. Two stimulus sequences with different target/non-target ratios allowed LLP to reconstruct mean target and non-target responses without labeled data. In the original online study, 84.5% of characters were spelled correctly on average without prior calibration.
…No effect of rhythmic visual stimulation on experimental pain perception. *[Journal Name…