Embedding stochastic dynamics in latent manifolds of recurrent neural networks

Ramón Nartallo-Kaluarachchi, Renaud Lambiotte, Alain Goriely

Recurrent neural networks (RNNs) provide a theoretical framework for understanding computation in biological neural circuits through their ability to support rich time-dependent be…