Preprint (33)

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Udvary, D.; Harth, P.; Macke, J. H.; Hege, H.-C.; de Kock, C. P.J.; Sakmann, B.; Oberlaender, M.: The impact of neuron morphology on cortical network architecture. bioRxiv: the preprint server for biology, 2020.11.13.381087v3 (2021)
642.
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Holmgren, C. D.; Stahr, P.; Wallace, D. J.; Voit, K.-M.; Matheson, E. J.; Sawinski, J.; Bassetto, G.; Kerr, J. N. D.: Freely-moving mice visually pursue prey using a retinal area with least optic flow. bioRxiv: the preprint server for biology, 448520 (2021)
643.
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Landler, L.; Ruxton, G. D.; Malkemper, E. P.: Comparing two circular distributions: advice for effective implementation of statistical procedures in biology. bioRxiv: the preprint server for biology (2021)
644.
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Flores Valle, A.; Honnef, R.; Seelig, J. D.: Automated long-term two-photon imaging in head-fixed walking Drosophila. bioRxiv: the preprint server for biology, 436241 (2021)
645.
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Flores Valle, A.; Gonçalves, P. J.; Seelig, J. D.: Integration of sleep homeostasis and navigation in Drosophila. bioaRxiv, 217638 (2020)
646.
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Gonçalves, P. J.; Lueckmann, J.-M.; Deistler, M.; Nonnenmacher, M.; Öcal, K.; Bassetto, G.; Chintaluri, C.; Podlaski, W. F.; Haddad, S. A.; Vogels, T. P. et al.; Greenberg, D. S.; Macke, J. H.: Training deep neural density estimators to identify mechanistic models of neural dynamics. bioRxiv: the preprint server for biology, 838383 (2020)
647.
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René, A.; Longtin, A.; Macke, J. H.: Inference of a mesoscopic population model from population spike trains. arXiv, q-bio, arXiv:1910.01618 (2019)
648.
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Speiser, A.; Turaga, S. C.; Macke, J. H.: Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning. arXiv (2019)
649.
Preprint
Behrens, C.; Zhang, Y.; Yadav, S. C.; Haverkamp, S.; Irsen, S.; Korympidou, M. M.; Schaedler, A.; Dedek, K.; Smith, R. G.; Euler, T. et al.; Berens, P.; Schubert, T.: Retinal horizontal cells use different synaptic sites for global feedforward and local feedback signaling. bioRxiv: the preprint server for biology, doi.org/10.1101/780031 (2019)
650.
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Nonnenmacher, M.; Behrens, C.; Berens, P.; Bethge, M.; Macke, J. H.: Signatures of criticality arise in simple neural population models with correlations. arXiv, 1603.00097 (2016)
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