Akihiro Matsumoto

Spatiotemporal properties of glutamate input support direction selectivity in the dendrites of retinal starburst amacrine cells

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

DOI

  • Prerna Srivastava, University of Victoria BC
  • ,
  • Geoff de Rosenroll, University of Victoria BC
  • ,
  • Akihiro Matsumoto
  • Tracy Michaels, University of Victoria BC
  • ,
  • Zachary Turple, University of Victoria BC
  • ,
  • Varsha Jain, University of Victoria BC
  • ,
  • Santhosh Sethuramanujam, University of Victoria BC
  • ,
  • Benjamin L Murphy-Baum, University of Victoria BC
  • ,
  • Keisuke Yonehara
  • Gautam Bhagwan Awatramani, University of Victoria BC

The asymmetric summation of kinetically distinct glutamate inputs across the dendrites of retinal 'starburst' amacrine cells is one of the several mechanisms that have been proposed to underlie their direction-selective properties, but experimentally verifying input kinetics has been a challenge. Here, we used two-photon glutamate sensor (iGluSnFR) imaging to directly measure the input kinetics across individual starburst dendrites. We found that signals measured from proximal dendrites were relatively sustained compared to those measured from distal dendrites. These differences were observed across a range of stimulus sizes and appeared to be shaped mainly by excitatory rather than inhibitory network interactions. Temporal deconvolution analysis suggests that the steady-state vesicle release rate was ~3 times larger at proximal sites compared to distal sites. Using a connectomics-inspired computational model, we demonstrate that input kinetics play an important role in shaping direction selectivity at low stimulus velocities. Taken together, these results provide direct support for the 'space-time wiring' model for direction selectivity.

OriginalsprogEngelsk
Artikelnummere81533
TidsskrifteLife
Vol/bind11
Antal sider17
ISSN2050-084X
DOI
StatusUdgivet - nov. 2022

Bibliografisk note

© 2022, Srivastava, de Rosenroll et al.

Se relationer på Aarhus Universitet Citationsformater

ID: 293684376