2017
Learning Recurrent Representations for Hierarchical Behavior Modeling
ICLR 2017poster
We propose a framework for detecting action patterns from motion sequences and modeling the sensory-motor relationship of animals, using a generative recurrent neural network. The network has a discriminative part (classifying actions) and a generative part (predicting motion), whose recurrent cells…