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What comparing deep neural networks can teach us about human vision

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.

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Fig. 1: Image processing by neural network models and resulting brain maps.


  1. Doerig, A. et al. Nat. Rev. Neurosci. 24, 431–450 (2023).

    Article  CAS  PubMed  Google Scholar 

  2. Wang, A. Y., Kay, K., Naselaris, T., Tarr, M. J. & Wehbe, L. Nat. Mach. Intell. 5, 1415–1426 (2023).

    Article  Google Scholar 

  3. Radford, A. et al. Int. Conf. Machine Learning 8748–8763 (2021).

  4. Allen, E. J. et al. Nat. Neurosci. 25, 116–126 (2022).

    Article  CAS  PubMed  Google Scholar 

  5. Deng, J. et al. IEEE Conf. Computer Vision and Pattern Recognition (2009).

  6. Doerig, A. et al. Preprint at (2022).

  7. Conwell, C., Prince, J. S., Kay, K. N., Alvarez, G. A. & Konkle, T. Preprint at bioRxiv (2023).

  8. Conwell, C., Prince, J. S., Hamblin, C. J. & Alvarez, G. A. Int. Conf. Learning Representations (2023).

  9. Storrs, K. R., Kietzmann, T. C., Walther, A., Mehrer, J. & Kriegeskorte, N. J. Cogn. Neurosci. 33, 2044–2064 (2021).

    PubMed  Google Scholar 

  10. Golan, T., Raju, P. C. & Kriegeskorte, N. Proc. Natl Acad. Sci. USA 117, 29330–29337 (2020).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  11. Hebart, M. N. et al. eLife 12, e82580 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Correspondence to Martin N. Hebart.

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Seeliger, K., Hebart, M.N. What comparing deep neural networks can teach us about human vision. Nat Mach Intell 6, 122–123 (2024).

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