Review for NeurIPS paper: A Biologically Plausible Neural Network for Slow Feature Analysis

Summary and Contributions: This paper produces a so-called biologically plausible neural network for slow-feature analysis. Biological plausibility here means that network learning is online and based on local synaptic learning rules. These online and locality requirements might lead to low computational overhead. While Foldiak, Wiskott, and many others have explored online local learning for SFA in the last thirty years, this paper attempts to relate SFA to a normative theory through an MDS objective.