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Research ArticleNew Research, Sensory and Motor Systems

Multivariate Analysis of BOLD Activation Patterns Recovers Graded Depth Representations in Human Visual and Parietal Cortex

Margaret Henderson, Vy Vo, Chaipat Chunharas, Thomas Sprague and John Serences
eNeuro 8 July 2019, 6 (4) ENEURO.0362-18.2019; https://doi.org/10.1523/ENEURO.0362-18.2019
Margaret Henderson
1Neurosciences Graduate Program, University of California, San Diego, La Jolla, CA 92093-0634
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Vy Vo
1Neurosciences Graduate Program, University of California, San Diego, La Jolla, CA 92093-0634
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Chaipat Chunharas
2Department of Psychology, University of California, San Diego, La Jolla, CA 92093-0109
3Department of Medicine, King Chulalongkorn Memorial Hospital, Chulalongkorn University, Bangkok 10330, Thailand
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Thomas Sprague
1Neurosciences Graduate Program, University of California, San Diego, La Jolla, CA 92093-0634
4Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106-9660
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John Serences
1Neurosciences Graduate Program, University of California, San Diego, La Jolla, CA 92093-0634
2Department of Psychology, University of California, San Diego, La Jolla, CA 92093-0109
5Kavli Foundation for the Brain and Mind, University of California, San Diego, La Jolla, CA 92093-0126
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0362-18.2019
PubMed 
31285275
Published By 
Society for Neuroscience
History 
  • Received September 13, 2018
  • Revision received June 24, 2019
  • Accepted June 26, 2019
  • Published online July 8, 2019.
Copyright & Usage 
Copyright © 2019 Henderson 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. Margaret Henderson1,*,
  2. Vy Vo1,*,
  3. Chaipat Chunharas2,3,
  4. Thomas Sprague1,4 and
  5. John Serences1,2,5
  1. 1Neurosciences Graduate Program, University of California, San Diego, La Jolla, CA 92093-0634
  2. 2Department of Psychology, University of California, San Diego, La Jolla, CA 92093-0109
  3. 3Department of Medicine, King Chulalongkorn Memorial Hospital, Chulalongkorn University, Bangkok 10330, Thailand
  4. 4Department of Psychological and Brain Sciences, University of California, Santa Barbara, CA 93106-9660
  5. 5Kavli Foundation for the Brain and Mind, University of California, San Diego, La Jolla, CA 92093-0126
  1. Correspondence should be address to Margaret Henderson at mmhender{at}ucsd.edu or John Serences at jserences{at}ucsd.edu.
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Author contributions

  1. Author contributions: M.H., V.V., C.C., T.S., and J.S. designed research; M.H., V.V., C.C., and T.S. performed research; M.H. and V.V. analyzed data; M.H. and V.V. wrote the paper.

  2. ↵* M.H. and V.V. authors contributed equally to this work.

Disclosures

  • The authors declare no competing financial interests.

  • This work was supported by National Eye Institute Grants R01-EY025872 (to J.S.) and F32-EY028438 (to T.S.), Thai Red Cross Society funding (C.C.), and the National Science Foundation Graduate Research Fellowships Program (V.V.).

Funding

  • NSF GRFP

  • Thai Red Cross Society

  • National Eye Institute

    F32-EY028438; R01-EY025872

Other Version

  • You are viewing the most recent version of this article.
  • previous version (July 08, 2019).

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Jul 2019848317220
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Total131044811526
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Multivariate Analysis of BOLD Activation Patterns Recovers Graded Depth Representations in Human Visual and Parietal Cortex
Margaret Henderson, Vy Vo, Chaipat Chunharas, Thomas Sprague, John Serences
eNeuro 8 July 2019, 6 (4) ENEURO.0362-18.2019; DOI: 10.1523/ENEURO.0362-18.2019

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Multivariate Analysis of BOLD Activation Patterns Recovers Graded Depth Representations in Human Visual and Parietal Cortex
Margaret Henderson, Vy Vo, Chaipat Chunharas, Thomas Sprague, John Serences
eNeuro 8 July 2019, 6 (4) ENEURO.0362-18.2019; DOI: 10.1523/ENEURO.0362-18.2019
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Keywords

  • depth
  • encoding model
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