Welcome to the Gollisch Lab Website
We are part of the Department of Ophthalmology at the University Medical Center Göttingen. Our research focuses on the question how the neural network of the retina in the eye processes and encodes visual information. In our work, we tightly combine experiments and theory. We record the activity of neurons in isolated retinas while stimulating the photoreceptors with light patterns, and we use modeling and statistics to understand the relationship between visual stimuli and neural responses.
Read more about our research here
Recent News
The paper on super-resolved tomographic reconstruction to identify ganglion cell subunits by Steffen Krüppel and others has appeared in PLoS Computational Biology. Congratulations!
Our manuscript on a new, accelerated usage of non-negative matrix factorization to identify receptive-field subunits, developed by Sören Zapp, is now available on bioRxiv.
Our manuscript on using the spatial contrast model to capture primate ganglion cell responses to natural movies, spearheaded by Shash Sridhar, is now available on bioRxiv.
Steffen Krüppel successfully defended his PhD thesis today. Congratulations!
Juan Diego Prieto successfully defended his PhD thesis today. Congratulations!
Prof. Dr. Tim Gollisch
Group Leader
Contact
Selected Recent Publications
Krüppel et al, Journal of Neuroscience 2023
Diversity of ganglion cell responses to saccade-like image shifts in the primate retina. Saccades are a [...]
Karamanlis, Schreyer, and Gollisch, Annual Review of Vision Science 2022
Retinal encoding of natural scenes. An ultimate goal in retina science is to understand how the [...]
Zapp, Nitsche, and Gollisch, Trends in Neurosciences 2022
Retinal receptive-field substructure: scaffolding for coding and computation. The center-surround receptive field of retinal ganglion cells [...]
Liu et al., PLoS Computational Biology 2022
Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration. A central [...]
Karamanlis and Gollisch, Journal of Neuroscience 2021
Nonlinear spatial integration underlies the diversity of retinal ganglion cell responses to natural images. How neurons [...]
Schreyer and Gollisch, Neuron 2021
Nonlinear spatial integration in retinal bipolar cells shapes the encoding of artificial and natural stimuli. The [...]
Further Affiliations
