Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity - PMC
We consider the problem of extracting smooth, low-dimensional neural trajectories that summarize the activity recorded simultaneously from many neurons on individual experimental trials. Beyond the benefit of visualizing the high-dimensional, noisy ...
J Neurophysiol . 2009 Apr 8;102(1):614–635. doi: 10.1152/jn.90941.2008 Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity Byron M Yu Byron M Yu 1 Department of Electrical Engineering, 2 Neurosciences Program, and 3 Department of Neurosurgery, Stanford University, Stanford, California; and 4 Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom Find articles by Byron M Yu 1,2,4 , John P Cunningham John P Cunningham 1 Department of Electrical Engineering, 2 Neurosciences Program, and 3 Department of Neurosu
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