What comparing deep neural networks can teach us about human vision

Seeliger, Katja; Hebart, Martin N.

doi:10.1038/s42256-024-00789-8

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What comparing deep neural networks can teach us about human vision

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Seeliger, Katja
Max Planck Research Group Vision and Computational Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Hebart, Martin N.
Max Planck Research Group Vision and Computational Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Seeliger, K., & Hebart, M. N. (2024). What comparing deep neural networks can teach us about human vision. Nature Machine Intelligence, 6, 122-123. doi:10.1038/s42256-024-00789-8.

Cite as: https://hdl.handle.net/21.11116/0000-000E-7BC3-C

Abstract

Recent work has demonstrated important parallels between human visual representations and those found in deep neural networks. A new study comparing functional MRI data to deep neural network models highlights factors that may determine this similarity.