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Kasugai, Y., Vogel, E., Hörtnagl, H., Schönherr, S., Paradiso, E., Hauschild, M.,https://doi.org/10.1016/j.neuron.2019.08.013__Ferraguti, F. (2019). Structural and functional remodeling of amygdala GABAergic synapses in associative fear learning. Neuron. Elsevier.https://doi.org/10.1016/j.neuron.2019.08.013 
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Ortiz-Álvarez, G., Daclin, M., Shihavuddin, A., Lansade, P., Fortoul, A., Faucourt, M.,https://doi.org/10.1016/j.neuron.2019.01.051__Spassky, N. (2019). Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members. Neuron. Elsevier.https://doi.org/10.1016/j.neuron.2019.01.051 
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Cao, M., Chen, R., Li, P., Yu, Y., Zheng, R., Ge, D.,https://doi.org/10.1038/s41586-019-1069-7__Xu, T. (2019). TMK1-mediated auxin signalling regulates differential growth of the apical hook. Nature. Springer Nature.https://doi.org/10.1038/s41586-019-1069-7 
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Friesecke, G., &; Kniely, M. (2019). New optimal control problems in density functional theory motivated by photovoltaics. Multiscale Modeling and Simulation. SIAM.https://doi.org/10.1137/18M1207272 
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Ionica, S., Klçer, P., Lauter, K., Lorenzo García, E., Manzateanu, M.-A., Massierer, M., &; Vincent, C. (2019). Modular invariants for genus 3 hyperelliptic curves. Research in Number Theory. Springer Nature.https://doi.org/10.1007/s40993-018-0146-6 
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Jeblick, M., Leopold, N. K., &; Pickl, P. (2019). Derivation of the time dependent Gross–Pitaevskii equation in two dimensions. Communications in Mathematical Physics. Springer Nature.https://doi.org/10.1007/s00220-019-03599-x 
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Skokan, R., Medvecká, E., Viaene, T., Vosolsobb, S., Zwiewka, M., Müller, K.,https://doi.org/10.1038/s41477-019-0542-5__Friml, J. (2019). PIN-driven auxin transport emerged early in streptophyte evolution. Nature Plants. Springer Nature.https://doi.org/10.1038/s41477-019-0542-5 
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Skórski, M. (2019). Strong chain rules for min-entropy under few bits spoiled. In 2019 IEEE International Symposium on Information Theory. Paris, France: IEEE.https://doi.org/10.1109/isit.2019.8849240 
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Guerrero, P., Perez-Carrasco, R., Zagórski, M. P., Page, D., Kicheva, A., Briscoe, J., &; Page, K. M. (2019). Neuronal differentiation influences progenitor arrangement in the vertebrate neuroepithelium. Development. The Company of Biologists.https://doi.org/10.1242/dev.176297 
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Alcântara, A., Bosch, J., Nazari, F., Hoffmann, G., Gallei, M. C., Uhse, S.,https://doi.org/10.3389/fpls.2019.01437__Djamei, A. (2019). Systematic H screening reveals extensive effector-complex formation. Frontiers in Plant Science. Frontiers.https://doi.org/10.3389/fpls.2019.01437 
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Retzer, K., Akhmanova, M., Konstantinova, N., Malínská, K., Leitner, J., Petrásek, J., &; Luschnig, C. (2019). Brassinosteroid signaling delimits root gravitropism via sorting of the Arabidopsis PIN2 auxin transporter. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-019-13543-1 
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Llorca, A., Ciceri, G., Beattie, R. J., Wong, F. K., Diana, G., Serafeimidou-Pouliou, E.,https://doi.org/10.7554/eLife.51381__Marín, O. (2019). A stochastic framework of neurogenesis underlies the assembly of neocortical cytoarchitecture. ELife. eLife Sciences Publications.https://doi.org/10.7554/eLife.51381 
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Klotz, L., Wendler, O., Frischknecht, R., Shigemoto, R., Schulze, H., &; Enz, R. (2019). Localization of group II and III metabotropic glutamate receptors at pre- and postsynaptic sites of inner hair cell ribbon synapses. FASEB Journal. FASEB.https://doi.org/10.1096/fj.201901543R 
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Renggli, C., Ashkboos, S., Aghagolzadeh, M., Alistarh, D.-A., &; Hoefler, T. (2019). SparCML: High-performance sparse communication for machine learning. In International Conference for High Performance Computing, Networking, Storage and Analysis, SC. Denver, CO, Unites States: ACM.https://doi.org/10.1145/3295500.3356222 
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Johannesson, K., Zagrodzka, Z., Faria, R., Westram, A. M., &; Butlin, R. (2019). Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes? Dryad.https://doi.org/10.5061/DRYAD.TB2RBNZWK 
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Aganezov, S., Zban, I., Aksenov, V., Alexeev, N., &; Schatz, M. C. (2019). Recovering rearranged cancer chromosomes from karyotype graphs. BMC Bioinformatics. BMC.https://doi.org/10.1186/s12859-019-3208-4 
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Amin-Wetzel, N. P., Neidhardt, L., Yan, Y., Mayer, M. P., &; Ron, D. (2019). Unstructured regions in IR;1 specify BiP-mediated destabilisation of the luminal domain dimer and repression of the UPR. ELife. eLife Sciences Publications.https://doi.org/10.7554/eLife.50793 
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Sahgal, P., Alanko, J. H., Icha, J., Paatero, I., Hamidi, H., Arjonen, A.,https://doi.org/10.1242/jcs.233387__Ivaska, J. (2019). GG and RA promote activity-dependent ;21-integrin recycling. Journal of Cell Science. The Company of Biologists.https://doi.org/10.1242/jcs.233387 
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Abusalah, H. M., Kamath Hosdurg, C., Klein, K., Pietrzak, K. Z., &; Walter, M. (2019). Reversible proofs of sequential work. In Advances in Cryptology – EUROCRYPT 2019 (Vol. 11477, pp. 277–291). Darmstadt, Germany: Springer International Publishing.https://doi.org/10.1007/978-3-030-17656-3_10 
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Yu, C., Tang, H., Renggli, C., Kassing, S., Singla, A., Alistarh, D.-A.,  Liu, J. (2019). Distributed learning over unreliable networks. In 36th International Conference on Machine Learning, ICML 2019 (Vol. 2019–June, pp. 12481–12512). Long Beach, CA, United States: IMLS.
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Morales, H. E., Faria, R., Johannesson, K., Larsson, T., Panova, M., Westram, A. M., &; Butlin, R. K. (2019). Genomic architecture of parallel ecological divergence: Beyond a single environmental contrast. Science Advances. AAAS.https://doi.org/10.1126/sciadv.aav9963 
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