Zeitschriftenartikel (878)

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Donlin-Asp, P. G.; Polisseni, C.; Klimek, R.; Heckel , A.; Schuman, E. M.: Differential regulation of local mRNA dynamics and translation following long-term potentiation and depression. Proceedings of the National Academy of Sciences (PNAS) 118 (13) (2021)
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Wosniack, M. E.; Kirchner, J. H.; Chao, L.-Y.; Zabouri, N.; Lohmann, C.; Gjorgjieva, J.: Adaptation of spontaneous activity in the developing visual cortex. eLife (10), e61619 (2021)
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Riquelme, J. L.; Gjorgjieva, J.: Towards readable code in neuroscience. Nature Reviews Neuroscience 22, S. 257 - 258 (2021)
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Barker, A. J.; Veviurko, G.; Bennett, N. C.; Hart , D. W.; Mograby, L.; Lewin, G. R.: Cultural transmission of vocal dialect in the naked mole-rat. Science 371 (6528), S. 503 - 507 (2021)
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Maldonado, P. P.; Nuno-Perez, A.; Kirchner, J. H.; Hammock, E.; Gjorgjieva, J.; Lohmann, C.: Oxytocin Shapes Spontaneous Activity Patterns in the Developing Visual Cortex by Activating Somatostatin Interneurons. Curr Biol 31 (2), S. 322 - 333 e5 (2021)
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Perez, J. D.; Tom Dieck, S.; Alvarez-Castelao, B.; Tushev, G.; Chan, I. C.; Schuman, E. M.: Subcellular sequencing of single neurons reveals the dendritic transcriptome of GABAergic interneurons. eLife 10, e63092 (2021)
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Fontinha, B. M.; Zekoll, T.; Al-Rawi, M.; Gallach , M.; Reithofer, F.; Barker, A. J.; Hofbauer, M.; Fischer, R. M.; von Haeseler, A.; Baier, H. et al.; Tessmar-Raible, K.: TMT-Opsins differentially modulate medaka brain function in a context-dependent manner. PLoS Biol. 19 (1), e3001012 (2021)
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Klimek, R.; Wang, M.; McKenney, V. R.; Schuman, E. M.; Heckel, A.: Photo-tethered molecular beacons for superior light-induction. Chem Commun (Camb) (2020)
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Barker, A. J.; Helmbrecht, T. O.; Grob, A. A.; Baier , H.: Functional, molecular and morphological heterogeneity of superficial interneurons in the larval zebrafish tectum. The Journal of Comparative Neurology 529 (9), S. 2159 - 2175 (2020)
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Anneser, L.; Alcantara, I. C.; Gemmer, A.; Mirkes, K.; Ryu, S.; Schuman, E. M.: The neuropeptide Pth2 dynamically senses others via mechanosensation. Nature 588 (7839), S. 653 - 657 (2020)
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Nold, A.; Batulin, D.; Birkner, K.; Bittner, S.; Tchumatchenko, T.: How Repair-or-Dispose Decisions Under Stress Can Initiate Disease Progression. iScience 23 (11), 101701 (2020)
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Sartori, F.; Hafner, A. S.; Karimi, A.; Nold, A.; Fonkeu, Y.; Schuman, E. M.; Tchumatchenko, T.: Statistical Laws of Protein Motion in Neuronal Dendritic Trees. Cell Rep 33 (7), S. 108391 (2020)
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Sartori, F.; Hafner, A. S.; Karimi, A.; Nold, A.; Fonkeu, Y.; Schuman, E. M.; Tchumatchenko, T.: Statistical Laws of Protein Motion in Neuronal Dendritic Trees. Cell Rep. 33 (7), 108391 (2020)
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Peter, A.; Stauch, B. J.; Shapcott, K.; Kourouplaki, K.; Schmiedt, J. T.; Klein, L.; Klon-Lipok, J.; Dowdall, J. R.; Schölvinck, M. L.; Vinck, M. et al.; Singer, W.; Schmid, M. C.; Fries, P.: Stimulus-specific plasticity of macaque V1 spike rates and gamma. bioRxiv (2020)
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Pardi, M. B.; Vogenstahl, J.; Dalmay, T.; Spanò, T.; Pu, D.-L.; Naumann, L. B.; Kretschmer, F.; Sprekeler, H.; Letzkus, J.J.: A thalamocortical top-down circuit for associative memory. Science 370 (6518), S. 844 - 848 (2020)
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van Wijngaarden, J. B.; Babl, S. S.; Ito, H.: Entorhinal-retrosplenial circuits for allocentric-egocentric transformation of boundary coding. eLife 2020 (9), e59816 (2020)
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Wu, Y.; Hengen, K.G.; Turrigiano, G.G.; Gjorgjieva, J.: Homeostatic mechanisms regulate distinct aspects of cortical circuit dynamics. Proceedings of the National Academy of Sciences of the United States of America 117 (39), S. 24514 - 24525 (2020)
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Fonkeu, Y.; Kraynyukova, N.; Hafner, A.S.; Kochen, L.; Sartori, F.; Schuman, E. M.; Tchumatchenko, T.: How mRNA localization and protein synthesis sites influence dendritic protein distribution and dynamics. Neuron 103 (6), S. 1109 - 1122 (2020)
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Hartung, J.; Letzkus, J. J.: Inhibitory plasticity in layer 1 – dynamic gatekeeper of neocortical associations. Curr. Opin.Neurobiol. 67 (April 2021), S. 26 - 33 (2020)
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Uran, C.; Peter, A.; Lazar, A.; Barnes, W.; Klon-Lipok, J.; Shapcott, K. A.; Roese, R.; Fries, P.; Singer, W.; Vinck, M.: Predictability in natural images determines V1 firing rates and synchronization: A deep neural network approach. bioRxiv (2020)
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