Dominic Gonschorek

Dominic Gonschorek

Postdoctoral Researcher

Publications

You can also find my articles on my Google Scholar profile.

Preprints

Eyewire II—A connectomic resource for resolving cell types and circuits of the mouse retina

Published in bioRxiv, 2026

A large-scale volumetric electron microscopy connectomic resource resolving cell types and circuits of the mouse retina.

Recommended citation: Stroh, S., Ebert, S., Fadjukov, J., Lause, J., Oesterle, J., Franke, K., Huang, Z., Lu, R., Matsliah, A., Berson, D., Sherathiya, V., Gonschorek, D., Schubert, T., David, C., Sorek, M., Sterling, A., Serafetinidis, N., Singer, J., Tsukamoto, Y., Maeyama, H., Omi, N., Schwartz, G., Berens, P., Seung, H. S., & Euler, T. (2026). "Eyewire II—A connectomic resource for resolving cell types and circuits of the mouse retina." bioRxiv.
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On-Off coding is latent in vertebrate visual circuits

Published in bioRxiv, 2026

On-Off polarity segregation in vertebrate visual circuits is a dynamic, inhibition-regulated computation rather than a fixed early circuit property.

Recommended citation: Wang, X., Steel, L., Fornetto, C., Gonschorek, D., Seifert, M., Schubert, T., Neuhauss, S. C. F., Euler, T., & Baden, T. (2026). "On-Off coding is latent in vertebrate visual circuits." bioRxiv. 2026.05.01.722149.
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The functional organization of retinal input to the mouse superior colliculus

Published in bioRxiv, 2026

The mouse superior colliculus receives a near-complete sampling of retinal ganglion cell functional diversity, organized in systematic laminar gradients.

Recommended citation: Qiu, Y., Schmors, L., Zhou, N., Akhmetali, M., Gonschorek, D., Smith, C., Sumser, A., Vallens, M., Cadwell, C. R., Gabbiani, F., Joesch, M., Tolias, A., Berens, P., Euler, T., Sinz, F., Reimer, J., & Franke, K. (2026). "The functional organization of retinal input to the mouse superior colliculus." bioRxiv. 2026.04.15.718783.
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The openretina Project: Collaborative Retina Modelling Across Datasets and Species

Published in bioRxiv, 2026

An open-source platform for collaborative, computational retina modelling across datasets and species.

Recommended citation: D'Agostino, F., Zenkel, T., Lorenzi, B., Vystrčilová, M., Gonschorek, D., Suhai, S., Virgili, S., Ecker, A. S., Marre, O., Höfling, L., Euler, T., & Bethge, M. (2025). "The openretina Project: Collaborative Retina Modelling Across Datasets and Species." bioRxiv. 2025.03.07.642012.
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A large-scale dataset of functional mouse ganglion cell layer responses

Published in bioRxiv, 2025

A large-scale resource of functional two-photon Ca2+-imaging recordings from more than 80,000 cells in the mouse retinal ganglion cell layer.

Recommended citation: Gonschorek, D., Oesterle, J., Zenkel, T., D'Agostino, F., Cai, C., Dyszkant, N., Szatko, K. P., Deja, F., Schwerd-Kleine, T., Arlinghaus, R., Franke, K., Zhao, Z., Schubert, T., Berens, P., & Euler, T. (2025). "A large-scale dataset of functional mouse ganglion cell layer responses." bioRxiv. 2025.12.04.691221.
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Journal Articles

When the brain talks back to the eye

Published in PLOS Biology, 2025

A perspective on brain-state-dependent histamine release and its modulation of the earliest stage of visual processing in the retina.

Recommended citation: Gonschorek, D., & Euler, T. (2025). "When the brain talks back to the eye." PLOS Biology. 23(11), e3003454.
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Photoreceptor degeneration has heterogeneous effects on functional retinal ganglion cell types

Published in The Journal of Physiology, 2025

Early photoreceptor degeneration in the rd10 mouse model of retinitis pigmentosa affects retinal ganglion cell types heterogeneously.

Recommended citation: Dyszkant, N., Oesterle, J., Qiu, Y., Harrer, M., Schubert, T., Gonschorek, D., & Euler, T. (2025). "Photoreceptor degeneration has heterogeneous effects on functional retinal ganglion cell types." The Journal of Physiology. 603(21), 6599-6621.
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Nitric oxide modulates contrast suppression in a subset of mouse retinal ganglion cells

Published in eLife, 2025

Nitric oxide selectively modulates temporal response suppression in a distinct subset of contrast-suppressed retinal ganglion cell types.

Recommended citation: Gonschorek, D., Goldin, M. A., Oesterle, J., Schwerd-Kleine, T., Arlinghaus, R., Zhao, Z., Schubert, T., Marre, O., & Euler, T. (2025). "Nitric oxide modulates contrast suppression in a subset of mouse retinal ganglion cells." eLife. 13, RP98742.
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Efficient coding of natural scenes improves neural system identification

Published in PLoS Computational Biology, 2023

Incorporating efficient coding of natural scenes into system-identification models improves predictions of retinal neuron responses.

Recommended citation: Qiu, Y., Klindt, D. A., Szatko, K. P., Gonschorek, D., Hoefling, L., Schubert, T., Busse, L., Bethge, M., & Euler, T. (2023). "Efficient coding of natural scenes improves neural system identification." PLoS Computational Biology. 19(4), e1011037.
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Conference Proceedings

TRACE: Contrastive learning for multi-trial time series data in neuroscience

Published in Advances in Neural Information Processing Systems (NeurIPS 2025) 38, 2026

A self-supervised contrastive learning method for multi-trial neural time series data, producing interpretable low-dimensional embeddings.

Recommended citation: Schmors, L., Gonschorek, D., Böhm, J. N., Qiu, Y., Zhou, N., Kobak, D., Tolias, A., Sinz, F., Reimer, J., Franke, K., Damrich, S., & Berens, P. (2026). "TRACE: Contrastive learning for multi-trial time series data in neuroscience." Advances in Neural Information Processing Systems (NeurIPS 2025). 38, 79837-79866.
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Removing inter-experimental variability from functional data in systems neuroscience

Published in Advances in Neural Information Processing Systems (NeurIPS) 34, 2021

An adversarial domain-adaptation framework removes inter-experimental variability from two-photon imaging data in systems neuroscience.

Recommended citation: Gonschorek, D., Höfling, L., Szatko, K. P., Franke, K., Schubert, T., Dunn, B., Berens, P., Klindt, D., & Euler, T. (2021). "Removing inter-experimental variability from functional data in systems neuroscience." Advances in Neural Information Processing Systems. 34, 3706-3719.
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