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Modelling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network
This model architecture aims to capture the computations in V1-MT, the core structure for motion perception in the biological visual system, while providing the ability to derive informative motion flow for a wide range of stimuli, including complex natural scenes.
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