June 23, 2022, 1:12 a.m. | Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu

cs.CV updates on arXiv.org arxiv.org

Artificial neural networks (ANNs), originally inspired by biological neural
networks (BNNs), have achieved remarkable successes in many tasks such as
visual representation learning. However, whether there exists semantic
correlations/connections between the visual representations in ANNs and those
in BNNs remains largely unexplored due to both the lack of an effective tool to
link and couple two different domains, and the lack of a general and effective
framework of representing the visual semantics in BNNs such as human functional
brain networks …

artificial artificial neural networks arxiv brain cv function human networks neural networks semantics

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