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ON/OFF domains shape receptive field structure in mouse visual cortex

Author

Listed:
  • Elaine Tring

    (David Geffen School of Medicine, UCLA)

  • Konnie K. Duan

    (Harvard-Westlake School)

  • Dario L. Ringach

    (David Geffen School of Medicine, UCLA
    UCLA)

Abstract

In higher mammals, thalamic afferents to primary visual cortex (area V1) segregate according to their responses to increases (ON) or decreases (OFF) in luminance. This organization induces columnar, ON/OFF domains postulated to provide a scaffold for the emergence of orientation tuning. To further test this idea, we asked whether ON/OFF domains exist in mouse V1. Here we show that mouse V1 is indeed parceled into ON/OFF domains. Interestingly, fluctuations in the relative density of ON/OFF neurons on the cortical surface mirror fluctuations in the relative density of ON/OFF receptive field centers on the visual field. Moreover, the local diversity of cortical receptive fields is explained by a model in which neurons linearly combine a small number of ON and OFF signals available in their cortical neighborhoods. These findings suggest that ON/OFF domains originate in fluctuations of the balance between ON/OFF responses across the visual field which, in turn, shapes the structure of cortical receptive fields.

Suggested Citation

  • Elaine Tring & Konnie K. Duan & Dario L. Ringach, 2022. "ON/OFF domains shape receptive field structure in mouse visual cortex," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29999-7
    DOI: 10.1038/s41467-022-29999-7
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    References listed on IDEAS

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    1. Kenichi Ohki & Sooyoung Chung & Yeang H. Ch'ng & Prakash Kara & R. Clay Reid, 2005. "Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex," Nature, Nature, vol. 433(7026), pages 597-603, February.
    2. Kuo-Sheng Lee & Xiaoying Huang & David Fitzpatrick, 2016. "Topology of ON and OFF inputs in visual cortex enables an invariant columnar architecture," Nature, Nature, vol. 533(7601), pages 90-94, May.
    3. Dario L. Ringach & Patrick J. Mineault & Elaine Tring & Nicholas D. Olivas & Pablo Garcia-Junco-Clemente & Joshua T. Trachtenberg, 2016. "Spatial clustering of tuning in mouse primary visual cortex," Nature Communications, Nature, vol. 7(1), pages 1-9, November.
    4. Jens Kremkow & Jianzhong Jin & Yushi Wang & Jose M. Alonso, 2016. "Principles underlying sensory map topography in primary visual cortex," Nature, Nature, vol. 533(7601), pages 52-57, May.
    5. Kenichi Ohki & Sooyoung Chung & Prakash Kara & Mark Hübener & Tobias Bonhoeffer & R. Clay Reid, 2006. "Highly ordered arrangement of single neurons in orientation pinwheels," Nature, Nature, vol. 442(7105), pages 925-928, August.
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