HCNN: A Neural Network Model for Combining Local and Global Features towards Human-like Classification.----中国科学院脑科学与智能技术卓越创新中心

High-dimensional topographic organization of visual features in the primate temporal lobe.

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Representational geometry of incomplete faces in macaque face patches.

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Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons.

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Explaining face representation in the primate brain using different computational models.

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HCNN: A Neural Network Model for Combining Local and Global Features towards Human-like Classification.

2016 Zhang, T., Zeng, Y., & Xu, B.