Understanding the eye through data — from single synapses to population-scale disease.

01
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.
02
Yoshimatsu, T., Schröder, C., Nevala, N. E., Berens, P., & Baden, T.

Fovea-like photoreceptor specializations underlie single UV cone driven prey-capture behavior in zebrafish.

Jul 22, 2020 | Neuron, 107(2), 320-337.
03
Szatko, K. P., Korympidou, M. M., Ran, Y., Berens, P., Dalkara, D., Schubert, T., ... & Franke, K.

Neural circuits in the mouse retina support color vision in the upper visual field.

Jul 13, 2020 | Nature communications, 11(1), 3481.
04
Laturnus, S., Kobak, D., & Berens, P.

A systematic evaluation of interneuron morphology representations for cell type discrimination.

May 04, 2020 | Neuroinformatics, 18, 591-609.
05
Ran, Y., Huang, Z., Baden, T., Schubert, T., Baayen, H., Berens, P., ... & Euler, T.

Type-specific dendritic integration in mouse retinal ganglion cells.

Apr 30, 2020 | Nature Communications, 11(1), 2101.
06
Höfling, L., Oesterle, J., Berens, P., & Zeck, G

Probing and predicting ganglion cell responses to smooth electrical stimulation in healthy and blind mouse retina.

Mar 23, 2020 | Scientific reports, 10(1), 5248.
07
Zhao, Z., Klindt, D. A., Maia Chagas, A., Szatko, K. P., Rogerson, L., Protti, D. A., ... & Euler, T.

The temporal structure of the inner retina at a single glance.

Mar 10, 2020 | Scientific reports, 10(1), 4399.
08
Cadwell, C. R., Scala, F., Fahey, P. G., Kobak, D., Mulherkar, S., Sinz, F. H., ... & Tolias, A. S.

Cell type composition and circuit organization of clonally related excitatory neurons in the juvenile mouse neocortex.

Mar 05, 2020 | Elife, 9, e52951.
09
Power, M. J., Rogerson, L. E., Schubert, T., Berens, P., Euler, T., & Paquet‐Durand, F.

Systematic spatiotemporal mapping reveals divergent cell death pathways in three mouse models of hereditary retinal degeneration.

Mar 05, 2020 | Journal of Comparative Neurology, 528(7), 1113-1139.
10
Berens, P., Waldstein, S. M., Ayhan, M. S., Kuemmerle, L., Agostini, H., Stahl, A., & Ziemssen, F.

Potential of methods of artificial intelligence for quality assurance.

Feb 24, 2020 | Der Ophthalmologe, 117, 320-325.
11
Grote, T., & Berens, P.

On the ethics of algorithmic decision-making in healthcare.

Feb 20, 2020 | Journal of medical ethics, 46(3), 205-211.
12
Schröder, C., James, B., Lagnado, L., & Berens, P.

Approximate bayesian inference for a mechanistic model of vesicle release at a ribbon synapse.

Dec 10, 2019 | Advances in Neural Information Processing Systems, 32.
13
Kobak, D., & Berens, P.

The art of using t-SNE for single-cell transcriptomics.

Nov 28, 2019 | Nature communications, 10(1), 5416.
14
Kobak, D., Linderman, G., Steinerberger, S., Kluger, Y., & Berens, P.

Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations.

Sep 16, 2019 | Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Cham: Springer International Publishing, 2019.
15
Scala, F., Kobak, D., Shan, S., Bernaerts, Y., Laturnus, S., Cadwell, C. R., ... Berens, P., ... & Tolias, A. S

Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas

Sep 13, 2019 | Nature communications, 10(1), 4174.
16
Rogerson, L. E., Zhao, Z., Franke, K., Euler, T., & Berens, P.

Bayesian hypothesis testing and experimental design for two-photon imaging data.

Aug 22, 2019 | PLoS computational biology, 15(8), e1007205.