2020
A Biologically Plausible Neural Network for Slow Feature Analysis
NeurIPS 2020poster
Learning latent features from time series data is an important problem in both machine learning and brain function. One approach, called Slow Feature Analysis (SFA), leverages the slowness of many salient features relative to the rapidly varying input signals. Furthermore, when trained on naturalist…