BNCI 2014-009 P300 dataset
…P300 Speller (overt attention) and GeoSpell (covert attention). 36 alphanumeric characters presented…
- Participants
- 10
- Channels
- 16 (10-10)
- Citations
- 79
- HED
- v8.4.0
- Size
- 247 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
100 results for "auditory attention" · page 8 of 10 · ranked by relevance
…P300 Speller (overt attention) and GeoSpell (covert attention). 36 alphanumeric characters presented…
…and Müller, H.J. (2010), Dimension-based attention modulates early visual processing…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006040-blue…
…P300, ERP, BCI, speller, covert attention, feature attention, gaze-independent ## References Treder…
This dataset contains EEG recordings from two experiments investigating the cortical encoding of sound source elevation in humans. Subjects were presented with noise bursts from loudspeakers positioned at various elevations in a hemi-anechoic chamber, and were also tested on their ability to localize elevated sound sources. Experiment I used a deviant detection paradigm, while Experiment II used a one-back task involving sound elevation discrimination.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004817-blue…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004816-blue…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006171-blue…
This dataset contains intracranial EEG recordings and behavioral event data from patients performing a delayed free recall task, in which participants studied word lists, engaged in an arithmetic distractor task, and freely recalled words. Data were collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania, providing electrode localization and referencing information suitable for memory and epilepsy research.
A P300-based brain-computer interface dataset for home appliance control, comprising EEG recordings from 14 healthy subjects performing a visual oddball task with 31-channel recordings at 500 Hz sampling rate. The dataset includes 50 training and 30 testing blocks per subject, with target and non-target stimulus classifications presented via LCD display in an online BCI paradigm.