We have a new manuscript out of the lab in Volume 10 of the Annual Review of Vision Science titled Retinal Connectomics: A Review by Crystal L. Sigulinsky, Rebecca L. Pfeiffer, and Bryan William Jones. A .pdf is here.

Abstract
The retina is an ideal model for understanding the fundamental rules for
how neural networks are constructed. The compact neural networks of
the retina perform all of the initial processing of visual information be-
fore transmission to higher visual centers in the brain. The field of retinal
connectomics uses high-resolution electron microscopy datasets to map
the intricate organization of these networks and further our understand-
ing of how these computations are performed by revealing the fundamental
topologies and allowable networks behind retinal computations. In this ar-
ticle, we review some of the notable advances that retinal connectomics
has provided in our understanding of the specific cells and the organi-
zation of their connectivities within the retina, as well as how these are
shaped in development and break down in disease. Using these anatomi-
cal maps to inform modeling has been, and will continue to be, instrumental
in understanding how the retina processes visual signals.