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Understanding visual processing of motion: Completing the picture using experimentally driven computational models of MT
Computational modeling helps neuroscientists to integrate and explain experimental data obtained through neurophysiological and anatomical studies, thus providing a mechanism by which we can better understand and predict the principles of neural computation.
Towards self-attention based visual navigation in the real world
Vision guided navigation requires processing complex visual information to inform task-orientated decisions.
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