Even before training, convolutional neural networks may reflect the brain’s visual processing principles. A study now shows how structure alone can help to explain the alignment between brains and models.
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Wang, B., Ponce, C.R. Structure as an inductive bias for brain–model alignment. Nat Mach Intell 7, 1895–1896 (2025). https://doi.org/10.1038/s42256-025-01155-y
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DOI: https://doi.org/10.1038/s42256-025-01155-y
