Scientific Data (Jun 2022)

Optimising the classification of feature-based attention in frequency-tagged electroencephalography data

  • Angela I. Renton,
  • David R. Painter,
  • Jason B. Mattingley

DOI
https://doi.org/10.1038/s41597-022-01398-z
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 17

Abstract

Read online

Measurement(s) Electroencephalography Technology Type(s) electroencephalography (EEG) Factor Type(s) Cued colour (black, white) • Cued flicker frequency (6.0 Hz, 7.5 Hz) • Distractor (present, absent) Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment time stamped measurement datum Sample Characteristic - Location Australia