Adrian Valente

Extracting computational mechanisms from neural data using low-rank RNNs

An influential framework within systems neuroscience posits that neural computations can be understood in terms of low-dimensional dynamics in recurrent circuits. A number of methods have thus been developed to extract latent dynamical systems from neural recordings, but inferring models that are bo…