論文

査読有り
2018年6月27日

A single retinal circuit model for multiple computations

Biological Cybernetics
  • Murat Sağlam
  • ,
  • Yuki Hayashida

112
5
開始ページ
1
終了ページ
18
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s00422-018-0767-9
出版者・発行元
Springer Verlag

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.


リンク情報
DOI
https://doi.org/10.1007/s00422-018-0767-9
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/29951908
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000444761500003&DestApp=WOS_CPL

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