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Abstract:
In the retina, the stream of incoming visual information is split into multiple parallel information channels, represented by different kinds of photoreceptors (PRs), bipolar (BCs) and ganglion cells (RGCs). Morphologically,
10-12 different BC and about 20 different RGC types have been described. Here, we record from all cells in the
vertical cone pathway, including all PR, BC and RGC types, using 2P imaging in the mouse retina. We show that BCs and RGCs can be clustered into functionally defined classes based on their Ca2+responses to simple light stimuli. For example, we find 8 functional BC types, which match anatomical types and project to the inner retina in an organized manner according to their response kinetics. The fastest BC types generate clear all-or-nothing spikes. In addition, we find more than 15 functional RGC types, including classic ON- and OFF as well as transient and sustained types. We verify the functional clustering using anatomical data. This dataset allows us to study the computations performed along the vertical pathway in the mammalian retina and to obtain a complete sample of the information the retina sends to the brain.
