Principal component analysis and manifold learning techniques for the design of brain-computer interfaces based on steady-state visually evoked potentials
Bartu Yeşilkaya, Ebru Sayılgan, Yılmaz Kemal Yüce, Matjaž Perc, Yalçın İşler
Topics & Concepts
Principal component analysisComputer sciencePattern recognition (psychology)Artificial intelligenceRobustness (evolution)Classifier (UML)Component analysisNaive Bayes classifierSupport vector machineManifold (fluid mechanics)Decoding methodsBrain–computer interfaceMachine learningAlgorithmElectroencephalographyGeneBiochemistryMechanical engineeringPsychiatryPsychologyChemistryEngineeringEEG and Brain-Computer InterfacesBlind Source Separation TechniquesNeuroscience and Neural Engineering