Principal component analysis and manifold learning techniques for the design of brain-computer interfaces based on steady-state visually evoked potentials

Bartu Yesilkaya, Ebru Sayilgan, Yilmaz Kemal Yüce, Matjaz Perc, Yalçin Isler. Principal component analysis and manifold learning techniques for the design of brain-computer interfaces based on steady-state visually evoked potentials. J. Comput. Science, 68:102000, April 2023. [doi]

Abstract

Abstract is missing.