Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity

10 Apr 2020Austin TalbotDavid DunsonKafui DzirasaDavid Carlson

Factor models are routinely used for dimensionality reduction in modeling of correlated, high-dimensional data. We are particularly motivated by neuroscience applications collecting high-dimensional `predictors' corresponding to brain activity in different regions along with behavioral outcomes... (read more)

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