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Research ArticleResearch Article: Methods/New Tools, Novel Tools and Methods

A General Framework for Inferring Bayesian Ideal Observer Models from Psychophysical Data

Tyler S. Manning, Benjamin N. Naecker, Iona R. McLean, Bas Rokers, Jonathan W. Pillow and Emily A. Cooper
eNeuro 31 October 2022, 10 (1) ENEURO.0144-22.2022; DOI: https://doi.org/10.1523/ENEURO.0144-22.2022
Tyler S. Manning
1Herbert Wertheim School of Optometry and Vision Science, University of California, Berkeley, Berkeley, CA 94720
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  • ORCID record for Tyler S. Manning
Benjamin N. Naecker
2Psychology, University of Texas at Austin, Austin, TX 78712
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Iona R. McLean
1Herbert Wertheim School of Optometry and Vision Science, University of California, Berkeley, Berkeley, CA 94720
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Bas Rokers
3Psychology, New York University–Abu Dhabi, Abu Dhabi, United Arab Emirates
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Jonathan W. Pillow
4Princeton Neuroscience Institute, Department of Psychology, Princeton University, Princeton, NJ 08540
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Emily A. Cooper
5Herbert Wertheim School of Optometry and Vision Science, Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0144-22.2022
PubMed 
36316119
Published By 
Society for Neuroscience
History 
  • Received March 23, 2022
  • Revision received October 14, 2022
  • Accepted October 24, 2022
  • Published online October 31, 2022.
Copyright & Usage 
Copyright © 2023 Manning et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Tyler S. Manning1,
  2. Benjamin N. Naecker2,
  3. Iona R. McLean1,
  4. Bas Rokers3,
  5. Jonathan W. Pillow4 and
  6. Emily A. Cooper5
  1. 1Herbert Wertheim School of Optometry and Vision Science, University of California, Berkeley, Berkeley, CA 94720
  2. 2Psychology, University of Texas at Austin, Austin, TX 78712
  3. 3Psychology, New York University–Abu Dhabi, Abu Dhabi, United Arab Emirates
  4. 4Princeton Neuroscience Institute, Department of Psychology, Princeton University, Princeton, NJ 08540
  5. 5Herbert Wertheim School of Optometry and Vision Science, Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720
  1. Correspondence should be addressed to Tyler S. Manning at tmanning{at}berkeley.edu.
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Author contributions

  1. Author contributions: T.S.M., B.R., J.W.P., and E.A.C. designed research; T.S.M. and I.R.M. performed research; B.N.N. and J.W.P. contributed unpublished reagents/analytic tools; T.S.M. analyzed data; T.S.M., B.N.N., I.R.M., B.R., J.W.P., and E.A.C. wrote the paper.

Disclosures

  • The authors declare no competing financial interests.

  • This work was supported by National Institute of Health Grants F32 EY03232 and T32 EY007043 (to T.S.M.); the National Science Foundation Award 2041726 (to E.A.C.); the Aspire Grant VRI20-10 (to B.R.); and the McKnight Scholar’s Award, the Simons Collaboration on the Global Brain (SCGB) Grant AWD543027, and the National Institutes of Health BRAIN Initiative Grant R01EB026946 (to J.W.P.).

Funding

  • HHS | NIH | National Eye Institute (NEI)

    F32 EY03232; T32 EY007043
  • Aspire Grant & Development

    VRI20-10
  • National Science Foundation (NSF)

    Award #2041726
  • McKnight Foundation (McKnight)

  • Simons Foundation (SF)

    SCGB AWD543027
  • HHS | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB)

    R01 EB026946

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A General Framework for Inferring Bayesian Ideal Observer Models from Psychophysical Data
Tyler S. Manning, Benjamin N. Naecker, Iona R. McLean, Bas Rokers, Jonathan W. Pillow, Emily A. Cooper
eNeuro 31 October 2022, 10 (1) ENEURO.0144-22.2022; DOI: 10.1523/ENEURO.0144-22.2022

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A General Framework for Inferring Bayesian Ideal Observer Models from Psychophysical Data
Tyler S. Manning, Benjamin N. Naecker, Iona R. McLean, Bas Rokers, Jonathan W. Pillow, Emily A. Cooper
eNeuro 31 October 2022, 10 (1) ENEURO.0144-22.2022; DOI: 10.1523/ENEURO.0144-22.2022
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Keywords

  • ideal observer models
  • perception
  • Bayesian inference

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