Martin Manns

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Deeper understanding of the neuronal basis of behavior and its evolution requires investigation of model organisms taken from different taxonomic groups. The merits of this comparative approach are highlighted by research on birds: while their cognitive capacities have long been underestimated, research on avian model systems more recently has begun to(More)
Many of the existing data-driven human motion synthesis methods rely on statistical modeling of motion capture data. Motion capture data is a high dimensional time-series data, therefore, it is usually required to construct an expressive latent space through dimensionality reduction methods in order to reduce the computational costs of modeling such(More)
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