Learning Dynamic Representations of the Functional Connectome in Neurobiological Networks

The author introduces an unsupervised approach to learning dynamic affinities between neurons in live animals, revealing communities forming among neurons at different times. The method predicts causal interactions between neurons to generate behavior.