IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-44809-y.html
   My bibliography  Save this article

The neural origin for asymmetric coding of surface color in the primate visual cortex

Author

Listed:
  • Yujie Wu

    (Beijing Normal University
    Princeton Neuroscience Institute, Princeton University)

  • Minghui Zhao

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Haoyun Deng

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Tian Wang

    (Beijing Normal University
    Beijing Normal University)

  • Yumeng Xin

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Weifeng Dai

    (Beijing Normal University)

  • Jiancao Huang

    (Beijing Normal University)

  • Tingting Zhou

    (Beijing Normal University)

  • Xiaowen Sun

    (Beijing Normal University)

  • Ning Liu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Dajun Xing

    (Beijing Normal University)

Abstract

The coding privilege of end-spectral hues (red and blue) in the early visual cortex has been reported in primates. However, the origin of such bias remains unclear. Here, we provide a complete picture of the end-spectral bias in visual system by measuring fMRI signals and spiking activities in macaques. The correlated end-spectral biases between the LGN and V1 suggest a subcortical source for asymmetric coding. Along the ventral pathway from V1 to V4, red bias against green peaked in V1 and then declined, whereas blue bias against yellow showed an increasing trend. The feedforward and recurrent modifications of end-spectral bias were further revealed by dynamic causal modeling analysis. Moreover, we found that the strongest end-spectral bias in V1 was in layer 4C $$\beta$$ β . Our results suggest that end-spectral bias already exists in the LGN and is transmitted to V1 mainly through the parvocellular pathway, then embellished by cortical processing.

Suggested Citation

  • Yujie Wu & Minghui Zhao & Haoyun Deng & Tian Wang & Yumeng Xin & Weifeng Dai & Jiancao Huang & Tingting Zhou & Xiaowen Sun & Ning Liu & Dajun Xing, 2024. "The neural origin for asymmetric coding of surface color in the primate visual cortex," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-44809-y
    DOI: 10.1038/s41467-024-44809-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-44809-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-44809-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yi Yang & Tian Wang & Yang Li & Weifeng Dai & Guanzhong Yang & Chuanliang Han & Yujie Wu & Dajun Xing, 2022. "Coding strategy for surface luminance switches in the primary visual cortex of the awake monkey," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    2. Camille Breuil & Ben J Jennings & Simon Barthelmé & Nathalie Guyader & Frederick A A Kingdom, 2019. "Color improves edge classification in human vision," PLOS Computational Biology, Public Library of Science, vol. 15(10), pages 1-15, October.
    3. Soumya Chatterjee & Edward M. Callaway, 2003. "Parallel colour-opponent pathways to primary visual cortex," Nature, Nature, vol. 426(6967), pages 668-671, December.
    4. Soumya Chatterjee & Kenichi Ohki & R. Clay Reid, 2021. "Chromatic micromaps in primary visual cortex," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    5. Peichao Li & Anupam K. Garg & Li A. Zhang & Mohammad S. Rashid & Edward M. Callaway, 2022. "Cone opponent functional domains in primary visual cortex combine signals for color appearance mechanisms," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tian Wang & Weifeng Dai & Yujie Wu & Yang Li & Yi Yang & Yange Zhang & Tingting Zhou & Xiaowen Sun & Gang Wang & Liang Li & Fei Dou & Dajun Xing, 2024. "Nonuniform and pathway-specific laminar processing of spatial frequencies in the primary visual cortex of primates," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    2. Peichao Li & Anupam K. Garg & Li A. Zhang & Mohammad S. Rashid & Edward M. Callaway, 2022. "Cone opponent functional domains in primary visual cortex combine signals for color appearance mechanisms," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    3. Tunis, Sean & Hanna, Eve & Neumann, Peter J. & Toumi, Mondher & Dabbous, Omar & Drummond, Michael & Fricke, Frank-Ulrich & Sullivan, Sean D. & Malone, Daniel C. & Persson, Ulf & Chambers, James D., 2021. "Variation in market access decisions for cell and gene therapies across the United States, Canada, and Europe," Health Policy, Elsevier, vol. 125(12), pages 1550-1556.
    4. Zhang, Tong & Burke, Paul J., 2020. "The effect of fuel prices on traffic flows: Evidence from New South Wales," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 502-522.
    5. Jérémie Sibille & Carolin Gehr & Jonathan I. Benichov & Hymavathy Balasubramanian & Kai Lun Teh & Tatiana Lupashina & Daniela Vallentin & Jens Kremkow, 2022. "High-density electrode recordings reveal strong and specific connections between retinal ganglion cells and midbrain neurons," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    6. Yujie Wu & Tian Wang & Tingting Zhou & Yang Li & Yi Yang & Weifeng Dai & Yange Zhang & Chuanliang Han & Dajun Xing, 2022. "V1-bypassing suppression leads to direction-specific microsaccade modulation in visual coding and perception," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-44809-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.