Kay A. Robbins to Principal Component Analysis
This is a "connection" page, showing publications Kay A. Robbins has written about Principal Component Analysis.
Connection Strength
0.950
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Ball K, Bigdely-Shamlo N, Mullen T, Robbins K. PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG. Comput Intell Neurosci. 2016; 2016:9754813.
Score: 0.543
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Robbins KA, Senseman DM. Extracting wave structure from biological data with application to responses in turtle visual cortex. J Comput Neurosci. 2004 May-Jun; 16(3):267-98.
Score: 0.235
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Bigdely-Shamlo N, Touryan J, Ojeda A, Kothe C, Mullen T, Robbins K. Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies. Neuroimage. 2020 02 15; 207:116361.
Score: 0.173