In the Department of Data Science we generate knowledge from data to advance neuroscience and ophthalmology.

01
Oesterle, J., Krämer, N., Hennig, P., & Berens, P.

Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models

Jan 04, 2022 | Journal of Computational Neuroscience, 50(4), 485-503
02
Faber, H., Berens, P., & Rohrbach, J. M.

Ocular changes as a diagnostic tool for malaria

Jan 02, 2022 | Der Ophthalmologe, 1-6
03
Ayhan, M. S., Kümmerle, L. B., Kühlewein, L., Inhoffen, W., Aliyeva, G., Ziemssen, F., & Berens, P.

Clinical validation of saliency maps for understanding deep neural networks in ophthalmology

Jan 01, 2022 | Medical Image Analysis, 77, 102364
04
Behrens, C., Yadav, S. C., Korympidou, M. M., Zhang, Y., Haverkamp, S., Berens, P. & Schubert, T.

Retinal horizontal cells use different synaptic sites for global feedforward and local feedback signaling.

Jan 01, 2022 | Current Biology, 32(3), 545-558
05
Gonschorek, D., Höfling, L., Szatko, K. P., Franke, K., Schubert, T., Dunn, B., Berens, P. ... & Euler, T.

Removing inter-experimental variability from functional data in systems neuroscience.

Dec 06, 2021 | Advances in Neural Information Processing Systems, 34, 3706-3719.
06
BRAIN Initiative Cell Census Network (BICCN)

A multimodal cell census and atlas of the mammalian primary motor cortex

Oct 21, 2021 | Nature, 598(7879), 86-102.
07
Yoshimatsu, T., Bartel, P., Schröder, C., Janiak, F. K., St-Pierre, F., Berens, P., & Baden, T.

Ancestral circuits for vertebrate color vision emerge at the first retinal synapse

Oct 13, 2021 | Science Advances, 7(42), eabj6815
08
Scala, F., Kobak, D., Bernabucci, M., Bernaerts, Y., Cadwell, C. R., Castro, J. R., [...], Berens, P. & Tolias, A. S.

Phenotypic variation of transcriptomic cell types in mouse motor cortex

Oct 07, 2021 | Nature, 598(7879), 144-150
09
Sokoloski, S., Aschner, A., & Coen-Cagli, R.

Modelling the neural code in large populations of correlated neurons

Oct 05, 2021 | Elife, 10, e64615.
10
Ilanchezian, I., Kobak, D., Faber, H., Ziemssen, F., Berens, P., & Ayhan, M. S

Interpretable gender classification from retinal fundus images using BagNets.

Sep 21, 2021 | Proceedings, Part III 24 (pp. 477-487). Springer International Publishing.
11
Lause, J., Berens, P., & Kobak, D.

Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data.

Sep 09, 2021 | Genome biology, 22(1), 1-20
12
Huang, Z., Ran, Y., Oesterle, Y., Euler, T., Berens, P.

Estimating smooth and sparse neural receptive fields with a flexible spline basis

Aug 18, 2021 | Neurons, Behavior, Data analysis, and Theory, Vol. 5, Issue 3, 2021
13
Kobak, D., Bernaerts, Y., Weis, M. A., Scala, F., Tolias, A. S., & Berens, P.

Sparse reduced-rank regression for exploratory visualisation of paired multivariate data

Aug 07, 2021 | Journal of the Royal Statistical Society Series C: Applied Statistics, 70(4), 980-1000
15
Schroeder, C., Oesterle, J., Berens, P., Yoshimatsu, T., & Baden, T.

Distinct synaptic transfer functions in same-type photoreceptors.

Jul 16, 2021 | Elife, 10, e67851.