Matthew F. Nolan

High-rank connectivity scaffolds support precision and generalisation in recurrent neural networks

A major challenge in neuroscience and machine learning is to connect single-neuron influence, population dynamics, and circuit connectivity in a causal account of computation. Much previous work has shown that low-rank connectivity can generate low-dimensional dynamics in trained artificial neural networks, but this le...