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Biological Cybernetics

, Volume 112, Issue 5, pp 427–444 | Cite as

A single retinal circuit model for multiple computations

  • Murat Sağlam
  • Yuki Hayashida
Original Article
  • 121 Downloads

Abstract

Vision is dependent on extracting intricate features of the visual information from the outside world, and complex visual computations begin to take place as soon as at the retinal level. In multiple studies on salamander retinas, the responses of a subtype of retinal ganglion cells, i.e., fast/biphasic-OFF ganglion cells, have been shown to be able to realize multiple functions, such as the segregation of a moving object from its background, motion anticipation, and rapid encoding of the spatial features of a new visual scene. For each of these visual functions, modeling approaches using extended linear–nonlinear cascade models suggest specific preceding retinal circuitries merging onto fast/biphasic-OFF ganglion cells. However, whether multiple visual functions can be accommodated together in a certain retinal circuitry and how specific mechanisms for each visual function interact with each other have not been investigated. Here, we propose a physiologically consistent, detailed computational model of the retinal circuit based on the spatiotemporal dynamics and connections of each class of retinal neurons to implement object motion sensitivity, motion anticipation, and rapid coding in the same circuit. Simulations suggest that multiple computations can be accommodated together, thereby implying that the fast/biphasic-OFF ganglion cell has potential to output a train of spikes carrying multiple pieces of information on distinct features of the visual stimuli.

Keywords

Retinal circuitry Visual computations Ganglion cells Wide-field amacrine cells 

Supplementary material

422_2018_767_MOESM1_ESM.mp4 (16.8 mb)
Supplementary material 1 (MP4 17179 kb)
422_2018_767_MOESM2_ESM.m4v (2.3 mb)
Supplementary material 2 (M4 V 2392 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Advanced AnalyticsSupply Chain Wizard LLCIstanbulTurkey
  2. 2.Graduate School of EngineeringOsaka UniversitySuitaJapan

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