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

01
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
02
Sokoloski, S., Aschner, A., & Coen-Cagli, R.

Modelling the neural code in large populations of correlated neurons

Oct 05, 2021 | Elife, 10, e64615.
03
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.
04
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
05
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
06
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
08
Schroeder, C., Oesterle, J., Berens, P., Yoshimatsu, T., & Baden, T.

Distinct synaptic transfer functions in same-type photoreceptors.

Jul 16, 2021 | Elife, 10, e67851.
10
Kobak, D., & Linderman, G. C.

Initialization is critical for preserving global data structure in both t-SNE and UMAP

Feb 01, 2021 | Nature biotechnology, 39(2), 156-157.
11
Baden, T., Euler, T., & Berens, P.

Understanding the retinal basis of vision across species.

Dec 12, 2020 | Nature Reviews Neuroscience, 21(1), 5-20.
12
Schröder, C., Klindt, D., Strauss, S., Franke, K., Bethge, M., Euler, T., & Berens, P.

System identification with biophysical constraints: A circuit model of the inner retina.

Dec 08, 2020 | Advances in Neural Information Processing Systems, 33, 15439-15450.
13
Oesterle, J., Behrens, C., Schröder, C., Hermann, T., Euler, T., Franke, K., ... & Berens, P.

Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics

Oct 27, 2020 | Elife, 9, e54997.
14
Pfau, M., Walther, G., von der Emde, L., Berens, P., Faes, L., Fleckenstein, M., ... & Holz, F. G.

Artificial intelligence in ophthalmology: Guidelines for physicians for the critical evaluation of studies.

Aug 28, 2020 | Der Ophthalmologe, 117, 973-988.
15
Ayhan, M. S., Kühlewein, L., Aliyeva, G., Inhoffen, W., Ziemssen, F., & Berens, P.

Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection.

Aug 20, 2020 | Medical image analysis, 64, 101724.
16
Laturnus, S., von Daranyi, A., Huang, Z., & Berens, P.

MorphoPy: A python package for feature extraction of neural morphologies.

Aug 03, 2020 | Journal of Open Source Software, 5(52), 2339.