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A Dynamical Systems Approach To Understanding Motor Control

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"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.(...)"

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zebrafish larvae neuronal activity movement behavioral dataset brainstem

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Licença CC