Panoramic visual statistics shape retina-wide organization of receptive fields
D. Gupta, W.F. Mlynarski, A.L. Sumser, O. Symonova, J. Svaton, M.A. Jösch, Nature Neuroscience 26 (2023) 606–614.
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DOI: 10.1038/s41593-023-01280-0
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Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields
D. Gupta, A.L. Sumser, M.A. Jösch, (2023).
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Panoramic functional gradients across the mouse retina
K. Kirillova, Panoramic Functional Gradients across the Mouse Retina, Institute of Science and Technology Austria, 2023.
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DOI: 10.15479/at:ista:12531

Strand asymmetry influences mismatch resolution during single-strand annealing
V. Pokusaeva, A.R. Diez, L. Espinar, A.T. Pérez, G.J. Filion, Genome Biology 23 (2022).
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Fast, high-throughput production of improved rabies viral vectors for specific, efficient and versatile transsynaptic retrograde labeling
A.L. Sumser, M.A. Jösch, P.M. Jonas, Y. Ben Simon, ELife 11 (2022).
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Change in the neurochemical signature and morphological development of the parvocellular isthmic projection to the avian tectum
R. ReyesPinto, J.L. Ferrán, T.A. Vega Zuniga, C. GonzálezCabrera, H. Luksch, J. Mpodozis, L. Puelles, G.J. Marín, Journal of Comparative Neurology 530 (2022) 553–573.
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Evolutionary and structural constraints influencing apolipoprotein AI amyloid behavior
R.A. Gisonno, T. Masson, N.A. Ramella, E.E. Barrera, V. Romanowski, M.A. Tricerri, Proteins: Structure, Function, and Bioinformatics 90 (2022) 258–269.
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Ventro-dorsal hippocampal pathway gates novelty-induced contextual memory formation
F.A. Fredes Tolorza, M.A. Silva Sifuentes, P. Koppensteiner, K. Kobayashi, M.A. Jösch, R. Shigemoto, Current Biology 31 (2021) –38..
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A specialized reciprocal connectivity suggests a link between the mechanisms by which the superior colliculus and parabigeminal nucleus produce defensive behaviors in rodents
A. Deichler, D. Carrasco, L. Lopez-Jury, T.A. Vega Zuniga, N. Marquez, J. Mpodozis, G. Marin, Scientific Reports 10 (2020).
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Anatomical specializations related to foraging in the visual system of a nocturnal insectivorous bird, the band-winged nightjar (Aves: Caprimulgiformes)
J.E. Salazar, D. Severin, T.A. Vega Zuniga, P. Fernández-Aburto, A. Deichler, M. Sallaberry A., J. Mpodozis, Brain, Behavior and Evolution 94 (2020) 27–36.
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A micro-CT-based method for quantitative brain lesion characterization and electrode localization
J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M.A. Jösch, D. Cox, Scientific Reports 8 (2018).
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Flexible learning-free segmentation and reconstruction of neural volumes
A. Shabazi, J. Kinnison, R. Vescovi, M. Du, R. Hill, M.A. Jösch, M. Takeno, H. Zeng, N. Da Costa, J. Grutzendler, N. Kasthuri, W. Scheirer, Scientific Reports 8 (2018).
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cShephers crookd neurons drive and synchronize the enhancing and suppressive mechanisms of the midbrain stimulus selection network
F. Garrido-Charad, T.A. Vega Zuniga, C. Gutiérrez-Ibáñez, P. Fernandez, L. López-Jury, C. González-Cabrera, H.J. Karten, H. Luksch, G.J. Marín, Proceedings of the National Academy of Sciences 115 (2018) 15–23.
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A micro-CT-based method for characterising lesions and locating electrodes in small animal brains
J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M.A. Jösch, D. Cox, Journal of Visualized Experiments 141 (2018).
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The genetic encoded toolbox for electron microscopy and connectomics
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Mosaic analysis with double markers reveals distinct sequential functions of Lgl1 in neural stem cells
R.J. Beattie, M.P. Postiglione, L. Burnett, S. Laukoter, C. Streicher, F. Pauler, G. Xiao, O. Klezovitch, V. Vasioukhin, T. Ghashghaei, S. Hippenmeyer, Neuron 94 (2017) 517–533.e3.
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DynamicRoots: A software platform for the reconstruction and analysis of growing plant roots
O. Symonova, C. Topp, H. Edelsbrunner, PLoS One 10 (2015).
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Root traits computed by DynamicRoots for the maize root shown in fig 2
O. Symonova, C. Topp, H. Edelsbrunner, (2015).
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3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture
C. Topp, A. Iyer Pascuzzi, J. Anderson, C. Lee, P. Zurek, O. Symonova, Y. Zheng, A. Bucksch, Y. Mileyko, T. Galkovskyi, B. Moore, J. Harer, H. Edelsbrunner, T. Mitchell Olds, J. Weitz, P. Benfey, PNAS 110 (2013) 95–04.
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The adaptive topology of a digital image
H. Edelsbrunner, O. Symonova, in:, IEEE, 2012, pp. 41–48.
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