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Marine Schimel

2 accepted papers

2024

Learning interpretable control inputs and dynamics underlying animal locomotion

ICLR 2024poster

A central objective in neuroscience is to understand how the brain orchestrates movement. Recent advances in automated tracking technologies have made it possible to document behavior with unprecedented temporal resolution and scale, generating rich datasets which can be exploited to gain insights i…

Cited by 1SourcePDFScholar
2022

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

ICLR 2022oral

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…

Cited by 31SourcePDFScholar