Motor learning involves one of the most fundamental feature of the brain: neuronal plasticity, the capacity of neuronal networks to modify their functional architecture. Our goal is to analyze neuronal plasticity at brain-wide scale. With a new multisensory virtual-reality platform, we want to monitor neuronal activity throughout the brain, while fish adapt their gaze stabilization and postural control to simulated changes of body parameters or the environment. We will identify the neuronal circuits involved and quantify network changes using methods from statistical physics.
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