Learning a common dictionary for subject-transfer decoding with resting calibration

• Published in: NeuroImage (Orlando, Fla.) Vol. 111; pp. 167 - 178
• Main Authors: Morioka, Hiroshi, Kanemura, Atsunori, Hirayama, Jun-ichiro, Shikauchi, Manabu, Ogawa, Takeshi, Ikeda, Shigeyuki, Kawanabe, Motoaki, Ishii, Shin
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.05.2015; Elsevier Limited
• Subjects: Adult; Brain; Brain - physiology; Brain-Computer Interfaces; Brain–machine interface (BMI); Calibration; Dictionary learning and sparse coding; Electroencephalography; Electroencephalography (EEG); Electroencephalography - methods; Functional Neuroimaging - methods; Humans; Multi-subject–session analysis; Neurosciences; Signal processing; Signal Processing, Computer-Assisted; Spatial attention; Studies; Subject-transfer decoding; Dictionary learning and sparse coding; Subject-transfer decoding; Brain–machine interface (BMI); Electroencephalography (EEG); Spatial attention; Multi-subject–session analysis

Brain signals measured over a series of experiments have inherent variability because of different physical and mental conditions among multiple subjects and sessions. Such variability complicates the analysis of data from multiple subjects and sessions in a consistent way, and degrades the performa...