Connectomic reconstruction of the inner plexiform layer in the mouse retina

Moritz Helmstaedter, Kevin L. Briggman, Srinivas C. Turaga, Viren Jain, Hyunjune Sebastian Seung, Winfried Denk

Research output: Contribution to journalArticle

454 Scopus citations

Abstract

Comprehensive high-resolution structural maps are central to functional exploration and understanding in biology. For the nervous system, in which high resolution and large spatial extent are both needed, such maps are scarce as they challenge data acquisition and analysis capabilities. Here we present for the mouse inner plexiform layer - the main computational neuropil region in the mammalian retina - the dense reconstruction of 950 neurons and their mutual contacts. This was achieved by applying a combination of crowd-sourced manual annotation and machine-learning-based volume segmentation to serial block-face electron microscopy data. We characterize a new type of retinal bipolar interneuron and show that we can subdivide a known type based on connectivity. Circuit motifs that emerge from our data indicate a functional mechanism for a known cellular response in a ganglion cell that detects localized motion, and predict that another ganglion cell is motion sensitive.

Original languageEnglish (US)
Pages (from-to)168-174
Number of pages7
JournalNature
Volume500
Issue number7461
DOIs
StatePublished - Jan 1 2013

All Science Journal Classification (ASJC) codes

  • General

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    Helmstaedter, M., Briggman, K. L., Turaga, S. C., Jain, V., Seung, H. S., & Denk, W. (2013). Connectomic reconstruction of the inner plexiform layer in the mouse retina. Nature, 500(7461), 168-174. https://doi.org/10.1038/nature12346