Understanding the eye through data — from single synapses to population-scale disease.
01
Schmors, L., Gonschorek, D., Böhm, J. N., Qiu, Y., Zhou, N., Kobak, D., ... & Berens, P.
TRACE: Contrastive learning for multi-trial time-series data in neuroscience.
02
Kadhim, K., Beck, J., Huang, Z., Macke, J. H., Rieke, F., Euler, T., ... & Berens, P.
A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations
03
Zouridis, I. S., Schmors, L., Lecca, S., Congiu, M., Mameli, M., Berens, P., ... & Burgalossi, A.
Aversion Encoding and Behavioral State Modulation of Physiologically Defined Cell Types in the Lateral Habenula.
04
Deistler, M., Kadhim, K. L., Pals, M., Beck, J., Huang, Z., Gloeckler, M., ... & Macke, J. H.
Jaxley: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics.
05
Müller, S., Koch, L. M., Lensch, H. P., & Berens, P.
Disentangling representations of retinal images with generative models
06
Ofosu Mensah, S., Djoumessi, K., & Berens, P.
Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning.
07
Schmidt, G., Heidrich, H., Berens, P., & Müller, S.
Learning Disease State from Noisy Ordinal Disease Progression Labels.
08
Draganov, A., Vadgama, S., Damrich, S., Böhm, J. N., Maes, L., Kobak, D., & Bekkers, E.
On the Importance of Embedding Norms in Self-Supervised Learning.
09
Kobak, D., González-Márquez, R., Horvát, E. Á., & Lause, J.
Delving into LLM-assisted writing in biomedical publications through excess vocabulary
10
Schmors, L., Kotkat, A. H., Bauer, Y., Huang, Z., Crombie, D., Meyerolbersleben, L. S., ... & Busse, L.
Effects of corticothalamic feedback depend on visual responsiveness and stimulus type.
11
Ilanchezian, I., Boreiko, V., Kühlewein, L., Huang, Z., Seçkin Ayhan, M., Hein, M., ... & Berens, P.
Development and validation of an AI algorithm to generate realistic and meaningful counterfactuals for retinal imaging based on diffusion models.
12
Djoumessi, K., Huang, Z., Kühlewein, L., Rickmann, A., Simon, N., Koch, L. M., & Berens, P.
An inherently interpretable AI model improves screening speed and accuracy for early diabetic retinopathy
13
Oesterle, J., Ran, Y., Stahr, P., Kerr, J. N., Schubert, T., Berens, P., & Euler, T
Task-specific regional circuit adaptations in distinct mouse retinal ganglion cells
14
Weis, M. A., Papadopoulos, S., Hansel, L., Lüddecke, T., Celii, B., Fahey, P. G., ... & Ecker, A. S.
An unsupervised map of excitatory neuron dendritic morphology in the mouse visual cortex
15
Gervelmeyer, J., Müller, S., Huang, Z., & Berens, P.
Fundus Image Toolbox: A Python package for fundus image processing
16
Frangos, S. M., Damrich, S., Gueiber, D., Sanchez, C. P., Wiedemann, P., Schwarz, U. S., ... & Lanzer, M