Article

iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data

2021-10-09

Abstract excerpt

<h4> A bstract </h4> Understanding how neural dynamics give rise to behaviour is one of the most fundamental questions in systems neuroscience. To achieve this, a common approach is to record neural populations in behaving animals, and model these data as emanating from a latent dynamical system whose state trajectories can then be related back to behavioural observations via some form of decoding. As recording...

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Literature Corpus work: 48779021-12c6-58ff-b0e5-2e32ab83668a
DOI: 10.1101/2021.10.07.463540

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