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A presynaptic source drives differing levels of surround suppression in two mouse retinal ganglion cell types

Author

Listed:
  • David Swygart

    (Northwestern University Interdepartmental Neuroscience Program)

  • Wan-Qing Yu

    (University of Washington)

  • Shunsuke Takeuchi

    (The University of Tokyo)

  • Rachel O. L. Wong

    (University of Washington)

  • Gregory W. Schwartz

    (Northwestern University Interdepartmental Neuroscience Program
    Northwestern University
    Northwestern University)

Abstract

In early sensory systems, cell-type diversity generally increases from the periphery into the brain, resulting in a greater heterogeneity of responses to the same stimuli. Surround suppression is a canonical visual computation that begins within the retina and is found at varying levels across retinal ganglion cell types. Our results show that heterogeneity in the level of surround suppression occurs subcellularly at bipolar cell synapses. Using single-cell electrophysiology and serial block-face scanning electron microscopy, we show that two retinal ganglion cell types exhibit very different levels of surround suppression even though they receive input from the same bipolar cell types. This divergence of the bipolar cell signal occurs through synapse-specific regulation by amacrine cells at the scale of tens of microns. These findings indicate that each synapse of a single bipolar cell can carry a unique visual signal, expanding the number of possible functional channels at the earliest stages of visual processing.

Suggested Citation

  • David Swygart & Wan-Qing Yu & Shunsuke Takeuchi & Rachel O. L. Wong & Gregory W. Schwartz, 2024. "A presynaptic source drives differing levels of surround suppression in two mouse retinal ganglion cell types," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-44851-w
    DOI: 10.1038/s41467-024-44851-w
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    Cited by:

    1. Jen-Chun Hsiang & Ning Shen & Florentina Soto & Daniel Kerschensteiner, 2024. "Distributed feature representations of natural stimuli across parallel retinal pathways," Nature Communications, Nature, vol. 15(1), pages 1-20, December.

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