ReyesPinto, R., Ferrán, J. L., Vega Zuniga, T. A., GonzálezCabrera, C., Luksch, H., Mpodozis, J.,https://doi.org/10.1002/cne.25229__Marín, G. J. (2022). Change in the neurochemical signature and morphological development of the parvocellular isthmic projection to the avian tectum. Journal of Comparative Neurology. Wiley.https://doi.org/10.1002/cne.25229 
LibreCat: https://research-explorer.ista.ac.at/record/9955
DOI: 10.1002/cne.25229
WoS: 000686420000001
PMID: 34363623

Gisonno, R. A., Masson, T., Ramella, N. A., Barrera, E. E., Romanowski, V., &; Tricerri, M. A. (2022). Evolutionary and structural constraints influencing apolipoprotein AI amyloid behavior. Proteins: Structure, Function, and Bioinformatics. Wiley.https://doi.org/10.1002/prot.26217 
LibreCat: https://research-explorer.ista.ac.at/record/15268
DOI: 10.1002/prot.26217
PMID: 34414600

Fredes Tolorza, F. A., Silva Sifuentes, M. A., Koppensteiner, P., Kobayashi, K., Jösch, M. A., &; Shigemoto, R. (2021). Ventro-dorsal hippocampal pathway gates novelty-induced contextual memory formation. Current Biology. Elsevier.https://doi.org/10.1016/j.cub.2020.09.074 
LibreCat: https://research-explorer.ista.ac.at/record/7551
DOI: 10.1016/j.cub.2020.09.074
WoS: 000614361000020

Deichler, A., Carrasco, D., Lopez-Jury, L., Vega Zuniga, T. A., Marquez, N., Mpodozis, J., &; Marin, G. (2020). A specialized reciprocal connectivity suggests a link between the mechanisms by which the superior colliculus and parabigeminal nucleus produce defensive behaviors in rodents. Scientific Reports. Springer Nature.https://doi.org/10.1038/s41598-020-72848-0 
LibreCat: https://research-explorer.ista.ac.at/record/8643
DOI: 10.1038/s41598-020-72848-0
WoS: 000577142600032

Salazar, J. E., Severin, D., Vega Zuniga, T. A., Fernández-Aburto, P., Deichler, A., Sallaberry A., M., &; Mpodozis, J. (2020). Anatomical specializations related to foraging in the visual system of a nocturnal insectivorous bird, the band-winged nightjar (Aves: Caprimulgiformes). Brain, Behavior and Evolution. Karger Publishers.https://doi.org/10.1159/000504162 
LibreCat: https://research-explorer.ista.ac.at/record/7160
DOI: 10.1159/000504162
WoS: 000522856600004
PMID: 31751995

Masís, J., Mankus, D., Wolff, S., Guitchounts, G., Jösch, M. A., &; Cox, D. (2018). A micro-CT-based method for quantitative brain lesion characterization and electrode localization. Scientific Reports. Nature Publishing Group.https://doi.org/10.1038/s41598-018-23247-z 
LibreCat: https://research-explorer.ista.ac.at/record/410
DOI: 10.1038/s41598-018-23247-z
WoS: 000428234100005

Shabazi, A., Kinnison, J., Vescovi, R., Du, M., Hill, R., Jösch, M. A.,https://doi.org/10.1038/s41598-018-32628-3__Scheirer, W. (2018). Flexible learning-free segmentation and reconstruction of neural volumes. Scientific Reports. Nature Publishing Group.https://doi.org/10.1038/s41598-018-32628-3 
LibreCat: https://research-explorer.ista.ac.at/record/62
DOI: 10.1038/s41598-018-32628-3
WoS: 000445336600015

Garrido-Charad, F., Vega Zuniga, T. A., Gutiérrez-Ibáñez, C., Fernandez, P., López-Jury, L., González-Cabrera, C.,https://doi.org/10.1073/pnas.1804517115__Marín, G. J. (2018). “Shepherd’s crook”https://doi.org/10.1073/pnas.1804517115__neurons drive and synchronize the enhancing and suppressive mechanisms of the midbrain stimulus selection network. Proceedings of the National Academy of Sciences. National Academy of Sciences.https://doi.org/10.1073/pnas.1804517115 
LibreCat: https://research-explorer.ista.ac.at/record/6010
DOI: 10.1073/pnas.1804517115
WoS: 000440982000020
PMID: 30026198

Masís, J., Mankus, D., Wolff, S., Guitchounts, G., Jösch, M. A., &; Cox, D. (2018). A micro-CT-based method for characterising lesions and locating electrodes in small animal brains. Journal of Visualized Experiments. MyJove Corporation.https://doi.org/10.3791/58585 
LibreCat: https://research-explorer.ista.ac.at/record/6
DOI: 10.3791/58585
WoS: 000456469400103

Shigemoto, R., &; Jösch, M. A. (2017). The genetic encoded toolbox for electron microscopy and connectomics. WIREs Developmental Biology. Wiley-Blackwell.https://doi.org/10.1002/wdev.288 
LibreCat: https://research-explorer.ista.ac.at/record/740
DOI: 10.1002/wdev.288
WoS: 000412827400005
PMID: 28800674

Beattie, R. J., Postiglione, M. P., Burnett, L., Laukoter, S., Streicher, C., Pauler, F.,https://doi.org/10.1016/j.neuron.2017.04.012__Hippenmeyer, S. (2017). Mosaic analysis with double markers reveals distinct sequential functions of Lgl1 in neural stem cells. Neuron. Cell Press.https://doi.org/10.1016/j.neuron.2017.04.012 
LibreCat: https://research-explorer.ista.ac.at/record/944
DOI: 10.1016/j.neuron.2017.04.012
WoS: 000400466700011

Symonova, O., Topp, C., &; Edelsbrunner, H. (2015). DynamicRoots: A software platform for the reconstruction and analysis of growing plant roots. PLoS One. Public Library of Science.https://doi.org/10.1371/journal.pone.0127657 
LibreCat: https://research-explorer.ista.ac.at/record/1793
DOI: 10.1371/journal.pone.0127657

Symonova, O., Topp, C., &; Edelsbrunner, H. (2015). Root traits computed by DynamicRoots for the maize root shown in fig 2. Public Library of Science.https://doi.org/10.1371/journal.pone.0127657.s001 
LibreCat: https://research-explorer.ista.ac.at/record/9737
DOI: 10.1371/journal.pone.0127657.s001

Topp, C., Iyer Pascuzzi, A., Anderson, J., Lee, C., Zurek, P., Symonova, O.,https://doi.org/10.1073/pnas.1304354110__Benfey, P. (2013). 3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1304354110 
LibreCat: https://research-explorer.ista.ac.at/record/2822
DOI: 10.1073/pnas.1304354110
PMID: 25673779

Edelsbrunner, H., &; Symonova, O. (2012). The adaptive topology of a digital image (pp. 41–48). Presented at the ISVD: International Symposium on Voronoi Diagrams in Science and Engineering, New Brunswick, NJ, USA : IEEE.https://doi.org/10.1109/ISVD.2012.11 
LibreCat: https://research-explorer.ista.ac.at/record/2903
DOI: 10.1109/ISVD.2012.11