Towards a complete parts list: multimodal data science in the retina (Talk)
University Hospital Tübingen, Institute of Ophthalmic Research
The retina in the eye performs complex computations, to transmit only behaviourally relevant information about our visual environment to the brain. These computations are implemented by numerous different cell types that form complex circuits. New experimental and computational methods make it possible to study the cellular diversity of the retina in detail – the goal of obtaining a complete list of all the cell types in the retina and, thus, its “building blocks”, is within reach. I will review our recent contributions in this area, showing how analyzing multimodal datasets from electron microscopy and functional imaging can yield insights into the cellular organization of retinal circuits.
"Meet the Neighbors!"
Our independent group leader Philipp Hennig is trying out this new format. Recently he discovered just how many scientists in Tübingen are using, studying, even developing inference and learning algorithms in some form or another, across many diverse disciplines. Some of these people might make great collaborators for some of the MPI-IS scientists; all of them are doing exciting, interesting research!
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems