Plasticity in the cerebellum: What molecular mechanisms are behind physiological learning
C. Alcarva, Plasticity in the Cerebellum: What Molecular Mechanisms Are behind Physiological Learning, Institute of Science and Technology Austria, 2023.

Mesendoderm formation in zebrafish gastrulation: The role of extraembryonic tissues
A. Schauer, Mesendoderm Formation in Zebrafish Gastrulation: The Role of Extraembryonic Tissues, Institute of Science and Technology Austria, 2023.

The nitrate transporter NR.1 directly antagonizes PIN7-mediated auxin transport for root growth adaptation
Y. Wang, Z. Yuan, J. Wang, H. Xiao, L. Wan, L. Li, Y. Guo, Z. Gong, J. Friml, J. Zhang, Proceedings of the National Academy of Sciences of the United States of America 120 (2023).

Cell cycle dynamics control fluidity of the developing mouse neuroepithelium
L. Bocanegra, A. Singh, E.B. Hannezo, M.P. Zagórski, A. Kicheva, Nature Physics 19 (2023) 1050–1058.

Epithelial dynamics during mouse neural tube development
L. Bocanegra, Epithelial Dynamics during Mouse Neural Tube Development, Institute of Science and Technology Austria, 2023.

On the origin and structure of haplotype blocks
D. Shipilina, A. Pal, S. Stankowski, Y.F. Chan, N.H. Barton, Molecular Ecology 32 (2023) 1441–1457.

Coherent optical control of a superconducting microwave cavity via electro-optical dynamical back-action
L. Qiu, R. Sahu, W.J. Hease, G.M. Arnold, J.M. Fink, Nature Communications 14 (2023).

CC acts as both a sensor and a sink for CCL19 to coordinate collective leukocyte migration
J.H. Alanko, M.C. Ucar, N. Canigova, J.A. Stopp, J. Schwarz, J. Merrin, E.B. Hannezo, M.K. Sixt, Science Immunology 8 (2023).

All-optical single-shot readout of a superconducting qubit
G.M. Arnold, T. Werner, R. Sahu, L. Kapoor, L. Qiu, J.M. Fink, ArXiv (n.d.).

Tunable directional photon scattering from a pair of superconducting qubits
E. Redchenko, A.V. Poshakinskiy, R. Sett, M. Zemlicka, A.N. Poddubny, J.M. Fink, Nature Communications 14 (2023).

Control of tissue dimensions in the developing neural tube and somites
T. Minchington, S. Rus, A. Kicheva, Current Opinion in Systems Biology 35 (2023).

Fundamental limits of two-layer autoencoders, and achieving them with gradient methods
A. Shevchenko, K. Kögler, H. Hassani, M. Mondelli, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 31151–31209.

Mechanism of clathrin-coated vesicle  formation during endocytosis in plants
N. Gnyliukh, Mechanism of Clathrin-Coated Vesicle  Formation during Endocytosis in Plants, Institute of Science and Technology Austria, 2023.

Role of dynamin-related proteins 2 and S in clathrin-mediated endocytosis in plants
N. Gnyliukh, A.J. Johnson, M.-K. Nagel, A. Monzer, A. Hlavata, E. Isono, M. Loose, J. Friml, BioRxiv (n.d.).

Closed-loop control of direct ink writing via reinforcement learning
M. Piovarci, M. Foshey, J. Xu, T. Erps, V. Babaei, P. Didyk, S. Rusinkiewicz, W. Matusik, B. Bickel, ACM Transactions on Graphics 41 (2022).

Extension complexity of low-dimensional polytopes
M.A. Kwan, L. Sauermann, Y. Zhao, Transactions of the American Mathematical Society 375 (2022) 4209–4250.

From the prefect’s desk: Gerard van Swieten’s library correspondence
C.A. Chlebak, P.H. Reid, Library and Information History 38 (2022) 23–41.

Relation between the number of peaks and the number of reciprocal sign epistatic interactions
R.J. Saona Urmeneta, F. Kondrashov, K. Khudiakova, Bulletin of Mathematical Biology 84 (2022).

Heterogeneity of the GFP fitness landscape and data-driven protein design
L. Gonzalez Somermeyer, A. Fleiss, A.S. Mishin, N.G. Bozhanova, A.A. Igolkina, J. Meiler, M.-E. Alaball Pujol, E.V. Putintseva, K.S. Sarkisyan, F. Kondrashov, ELife 11 (2022).

Simultaneous brain cell type and lineage determined by scRNA-seq reveals stereotyped cortical development
D.J. Anderson, F. Pauler, A. Mckenna, J. Shendure, S. Hippenmeyer, M.S. Horwitz, Cell Systems 13 (2022) 438–453.e5.