July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Comparative connectomics of the mammalian retina
Author Affiliations & Notes
  • Kevin L. Briggman
    Computational Neuroethology, caesar, Bonn, Germany
  • Footnotes
    Commercial Relationships   Kevin Briggman, None
  • Footnotes
    Support  NINDS Intramural Research Program NS003133, the Max-Planck Society, and the Pew Charitable Trusts.
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 12. doi:
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      Kevin L. Briggman; Comparative connectomics of the mammalian retina. Invest. Ophthalmol. Vis. Sci. 2018;59(9):12.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Presentation Description : Directionally tuned signalling in starburst amacrine cell (SAC) dendrites lies at the heart of the circuit that detects the direction of moving stimuli in the mammalian retina. The relative contributions of intrinsic cellular properties and network connectivity to SAC direction selectivity remain unclear. Here we present a detailed connectomic reconstruction of SAC circuitry in mouse retina and describe two previously unknown features of synapse distributions along SAC dendrites: input and output synapses are segregated, with inputs restricted to proximal dendrites; and the distribution of inhibitory inputs is fundamentally different from that observed in rabbit retina. An anatomically constrained SAC network model suggests that SAC–SAC wiring differences between mouse and rabbit retina underlie distinct contributions of synaptic inhibition to velocity and contrast tuning and receptive field structure. In particular, the model indicates that mouse connectivity enables SACs to encode lower linear velocities that account for smaller eye diameter, thereby conserving angular velocity tuning. These predictions are confirmed with calcium imaging of mouse SAC dendrites responding to directional stimuli.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

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