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Analogous Convergence of Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation

Visual motion information is computed by parallel On and Off pathways in the retina, which lead to On and Off types of starburst amacrine cells (SACs). The approximate mirror symmetry between this pair of cell types suggests that On and Off pathways might compute motion using analogous mechanisms. T...

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Autores principales: Greene, Matthew J., Kim, Jinseop S., Seung, H. Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404534/
https://www.ncbi.nlm.nih.gov/pubmed/26904938
http://dx.doi.org/10.1016/j.celrep.2016.02.001
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author Greene, Matthew J.
Kim, Jinseop S.
Seung, H. Sebastian
author_facet Greene, Matthew J.
Kim, Jinseop S.
Seung, H. Sebastian
author_sort Greene, Matthew J.
collection PubMed
description Visual motion information is computed by parallel On and Off pathways in the retina, which lead to On and Off types of starburst amacrine cells (SACs). The approximate mirror symmetry between this pair of cell types suggests that On and Off pathways might compute motion using analogous mechanisms. To test this idea, we reconstructed On SACs and On bipolar cells (BCs) from serial electron microscopic images of a mouse retina. We defined a new On BC type in the course of classifying On BCs. Through quantitative contact analysis, we found evidence that sustained and transient On BC types are wired to On SAC dendrites at different distances from the SAC soma, mirroring our previous wiring diagram for the Off BC-SAC circuit. Our finding is consistent with the hypothesis that On and Off pathways contain parallel correlation-type motion detectors.
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spelling pubmed-64045342019-03-07 Analogous Convergence of Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation Greene, Matthew J. Kim, Jinseop S. Seung, H. Sebastian Cell Rep Article Visual motion information is computed by parallel On and Off pathways in the retina, which lead to On and Off types of starburst amacrine cells (SACs). The approximate mirror symmetry between this pair of cell types suggests that On and Off pathways might compute motion using analogous mechanisms. To test this idea, we reconstructed On SACs and On bipolar cells (BCs) from serial electron microscopic images of a mouse retina. We defined a new On BC type in the course of classifying On BCs. Through quantitative contact analysis, we found evidence that sustained and transient On BC types are wired to On SAC dendrites at different distances from the SAC soma, mirroring our previous wiring diagram for the Off BC-SAC circuit. Our finding is consistent with the hypothesis that On and Off pathways contain parallel correlation-type motion detectors. 2016-02-18 2016-03-01 /pmc/articles/PMC6404534/ /pubmed/26904938 http://dx.doi.org/10.1016/j.celrep.2016.02.001 Text en This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Greene, Matthew J.
Kim, Jinseop S.
Seung, H. Sebastian
Analogous Convergence of Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation
title Analogous Convergence of Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation
title_full Analogous Convergence of Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation
title_fullStr Analogous Convergence of Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation
title_full_unstemmed Analogous Convergence of Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation
title_short Analogous Convergence of Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation
title_sort analogous convergence of sustained and transient inputs in parallel on and off pathways for retinal motion computation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404534/
https://www.ncbi.nlm.nih.gov/pubmed/26904938
http://dx.doi.org/10.1016/j.celrep.2016.02.001
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