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Resumo(s)
"A key function of the brain is to control movements. In larval zebrafish,
movements are controlled by descending input from the brainstem to the
spinal cord. The way these inputs control different parameters of move-
ment is not completely understood. Prior categorical approaches limit the
ability to model continuous control schemes effectively. Here, we take an
optimal control theory approach to behavioral modeling and argue that
movements can be understood as the output of a controlled dynamical
system. Using a rich behavioral dataset, our goal is to identify both the
latent control signals and the underlying dynamics that make up the lo-
comotor repertoire of the zebrafish larvae. Learning the dynamics of a
system driven by unobserved inputs is a challenging system identification
problem.(...)"
Descrição
Palavras-chave
zebrafish larvae neuronal activity movement behavioral dataset brainstem
