Building artificial systems that see and recognize the world similarly to human visual systems is a key goal of computer vision. Recent advancements in population brain activity measurement, along with improvements in the implementation and design of deep neural network models, have made it possible to directly compare the architectural features of artificial networks to those of biological brains’ latent representations, revealing crucial details about how these systems…
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