Theory of Task-Adapted Dynamics in Large Recurrent Neural Networks
Member Seminar Speaker: Blake Bordelon, CMSA Title: Theory of Task-Adapted Dynamics in Large Recurrent Neural Networks Abstract: Recurrent neural networks (RNNs) encode expressive and flexible dynamical systems which can adapt to perform tasks by modifying the internal connections between neurons. In this work we analyze the structure of the dynamical systems encoded in RNNs after […]