Review paper
PredNet and Predictive Coding: A Critical Review
Published: Jun 8, 2020
Abstract
PredNet, a deep predictive coding network developed by Lotter et al., combines a biologically inspired architecture based on the propagation of prediction error with self-supervised representation learning in video. While the architecture has drawn a lot of attention and various extensions of the model exist, there is a lack of a critical analysis. We fill in the gap by evaluating PredNet both as an implementation of the predictive coding theory...
Paper Details
Title
PredNet and Predictive Coding: A Critical Review
Published Date
Jun 8, 2020
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