Exploring an EM-algorithm for banded regression in computational neuroscience
Søren A. Fuglsang,
Kristoffer H. Madsen,
Oula Puonti
et al.
Abstract:Regression is a principal tool for relating brain responses to stimuli or tasks in computational neuroscience. This often involves fitting linear models with predictors that can be divided into groups, such as distinct stimulus feature subsets in encoding models or features of different neural response channels in decoding models. When fitting such models, it can be relevant to impose differential shrinkage of the different groups of regression weights. Here, we explore a framework that allow for straightforwa… Show more
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