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Biological convolutions improve DNN robustness to noise and generalisation

View ORCID ProfileBenjamin D. Evans, Gaurav Malhotra, Jeffrey S. Bowers
doi: https://doi.org/10.1101/2021.02.18.431827
Benjamin D. Evans
School of Psychological Science, University of Bristol, 12a Priory Road, Bristol BS8 1TU, UK
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  • For correspondence: benjamin.evans@bristol.ac.uk
Gaurav Malhotra
School of Psychological Science, University of Bristol, 12a Priory Road, Bristol BS8 1TU, UK
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Jeffrey S. Bowers
School of Psychological Science, University of Bristol, 12a Priory Road, Bristol BS8 1TU, UK
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Article Information

doi 
https://doi.org/10.1101/2021.02.18.431827
History 
  • February 18, 2021.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Benjamin D. Evans∗,
  2. Gaurav Malhotra and
  3. Jeffrey S. Bowers
  1. School of Psychological Science, University of Bristol, 12a Priory Road, Bristol BS8 1TU, UK
  1. ↵∗Corresponding author: benjamin.evans{at}bristol.ac.uk
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Posted February 18, 2021.
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Biological convolutions improve DNN robustness to noise and generalisation
Benjamin D. Evans, Gaurav Malhotra, Jeffrey S. Bowers
bioRxiv 2021.02.18.431827; doi: https://doi.org/10.1101/2021.02.18.431827
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Biological convolutions improve DNN robustness to noise and generalisation
Benjamin D. Evans, Gaurav Malhotra, Jeffrey S. Bowers
bioRxiv 2021.02.18.431827; doi: https://doi.org/10.1101/2021.02.18.431827

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