Recording the entire visual representation along the vertical pathway in the retina


PurposeIn 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 retinal ganglion cells (RGCs). Here, we record from the majority of these cells in the vertical cone pathway using two-photon (2P) Ca2+ imaging in the mouse retina. This dataset allows us to study the computations performed along the retina’s vertical pathway and to obtain a complete sample of the information the mouse eye sends to the mouse brain.MethodsWe recorded light-evoked Ca2+ activity from BC synaptic terminals and RGCs loaded with synthetic Ca2+ indicator dyes in intact whole-mounted mouse retina using 2P microscopy. Light evoked activity of cone PRs was recorded in slices using transgenic animals expressing a genetically encoded Ca2+ indicator (Wei et al., 2012). Simple full-field light stimuli were used. Single cell activity patterns could be clustered into at least 8 functional BC types and at least 15 functionally distinct RGC types (Baden et al., in press). In addition, we presented spatially modulated to identify different previously described functional types such as direction selective GCsResultsWe found 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 found> 15 functional RGC types, including classic ON-and OFF as well as transient and sustained types. We verified the functional clustering using anatomical data.ConclusionsOur data suggest that neurons of the retina’s …

Matthias Bethge
Matthias Bethge
Professor for Computational Neuroscience and Machine Learning & Director of the Tübingen AI Center

Matthias Bethge is Professor for Computational Neuroscience and Machine Learning at the University of Tübingen and director of the Tübingen AI Center, a joint center between Tübingen University and MPI for Intelligent Systems that is part of the German AI strategy.