Understanding the retina is crucial for decoding how visual information is processed. However, decades of data and models remain scattered across labs and approaches. We introduce openretina to unify retinal system identification. (2/9)

Try it out and help us improve the accessibility of retinal datasets and models together.

A team effort with:
@thomaszen.bsky.social
@dgonschorek.bsky.social
@lhoefling.bsky.social
@teuler.bsky.social
@bethgelab.bsky.social

#openscience #computationalneuroscience (9/9)

... with contributions from Jonathan Oesterle, @tom-sk.bsky.social, Ryan Arlinghaus, Zhijian Zhao, and Timm Schubert.
The picture below illustrates distinct mouse retinal ganglion cell types showing time-dependent (left) and/or NO-evoked (right) changes in their light responses.

The first visual synapse, so rods and rod bipolar cells! Encoding single photon signals at the physical limits of detection.

There’s actually at least 12 types of paper in neuroscience (stolen from X), who knew?