Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Analogous Convergence of Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation

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

Thumbnail Image
Download
Name

Greene-2016-Analogous Convergenc.pdf

Size

3.51 MB

Format

Adobe PDF

Checksum (MD5)

e23675ae175b73ae53a7052b84f165d3

Author(s)
Greene, Matthew J.
•
Kim, Jinseop S.
•
Seung, H. Sebastian
•
Greene, Matthew J.
Date Issued
February 2016
Journal
Cell Reports
Publisher
Elsevier
Citation
Greene, Matthew J., Jinseop S. Kim, and H. Sebastian Seung. “Analogous Convergence of Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation.” Cell Reports 14, no. 8 (March 2016): 1892–1900.
Version
Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution
http://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/102628
DOI of Published Version
https://doi.org/10.1016/j.celrep.2016.02.001
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.