Linear dynamical neural population models through nonlinear embeddings

NeurIPS 2016 Yuanjun GaoEvan ArcherLiam PaninskiJohn P. Cunningham

A body of recent work in modeling neural activity focuses on recovering low-dimensional latent features that capture the statistical structure of large-scale neural populations. Most such approaches have focused on linear generative models, where inference is computationally tractable... (read more)

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