In the Department of Data Science we generate knowledge from data to advance neuroscience and ophthalmology.
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
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.
03
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.
04
Kobak, D., González-Márquez, R., Horvát, E. Á., & Lause, J.
Delving into LLM-assisted writing in biomedical publications through excess vocabulary
05
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.
06
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.
07
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
08
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
09
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
10
Gervelmeyer, J., Müller, S., Huang, Z., & Berens, P.
Fundus Image Toolbox: A Python package for fundus image processing
11
Holtrup, L., Varghese, J., Schuster, A.K. et al. EyeMatics
EyeMatics—Multicenter data evaluation of real-world data with interoperable medical informatics
12
Grote, T., Freiesleben, T. & Berens, P.
Foundation models in healthcare require rethinking reliability
13
Gervelmeyer, J., Müller, S., Djoumessi, K., Merle, D., Clark, S. J., Koch, L., & Berens, P.
Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling
14
Lause, J., Berens, P., Kobak, D.
The art of seeing the elephant in the room: 2D embeddings of single-cell data do make sense
15
Franke, K., Cai, C., Ponder, K., Fu, J., Sokoloski, S., Berens, P., & Tolias, A. S.
Asymmetric distribution of color-opponent response types across mouse visual cortex supports superior color vision in the sky.
16
Beck, J., Bosch, N., Deistler, M., Kadhim, K.L., Macke, J. H., Hennig, P., Berens, P.