Recurrent Neural Networks with Interpretable Cells Predict and Classify Worm Behaviour
Kezhi Li, Avelino Javer, Eric E. Keaveny, Andre E.X. Brown
This paper uses a multilayer RNN to generate and classify C. elegans behaviour, finding that interpretable neurons correlate with observable features and improve strain classification.
bioRxiv · Nov 20, 2017 · PreprintAnimal Behavior & Cognition