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Publications by Jürgen Kayser
Novelty P3 Reductions in Depression: Characterization Using Principal Components Analysis (PCA) of Current Source Density (CSD) Waveforms
Psychophysiology
Developmental
Cognitive Psychology
Neuropsychology
Educational Psychology
Cognitive Neuroscience
Endocrine
Developmental Neuroscience
Physiological Psychology
Autonomic Systems
Neurology
Neuroscience
Biological Psychiatry
Physiology
Experimental
Related publications
Principal Components Regression by Using Generalized Principal Components Analysis
JOURNAL OF THE JAPAN STATISTICAL SOCIETY
Reinstating the Novelty P3
Scientific Reports
Multidisciplinary
Fringe and Noise Reductions of pMAIRS Spectra Using Principal Component Analysis
Analytical Sciences
Analytical Chemistry
Reduced Brain Responses to Novel Sounds in Depression: P3 Findings in a Novelty Oddball Task
Psychiatry Research
Psychiatry
Mental Health
Biological Psychiatry
Face Recognition Using PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) Techniques
IJARCCE
Modeling and Analysis of the DSR Complex Shear Modulus Using the Principal Component Analysis (PCA)
Journal of Applied Sciences
Figure 24: Principal Component Analysis (PCA) of Psilochilus Taxa.
Principal Component Analysis (PCA) on Multivariate Data of Lard Analysis in Cooking Oil
Journal of Mathematics and System Science
Kernel Current Source Density Method
BMC Neuroscience
Neuroscience
Cellular
Molecular Neuroscience