Publikationen von Hermann Cuntz

Cuntz, H.; Förstner, F.; Schnell, B.; Ammer, G.; Raghu, S. V.; Borst, A.: Preserving neural function under extreme scaling. PLoS One 8 (8), e71540 (2013)

Cuntz, H.; Förstner, F.; Borst, A.; Hausser, M.: The TREES toolbox-probing the basis of axonal and dendritic branching. Neuroinformatics 9 (1), S. 91 - 96 (2011)

Cuntz, H.; Förstner, F.; Borst, A.; Häusser, M.: One rule to grow them all: A general theory of neuronal branching and its practical application. PLoS Computational Biology 6 (8), e1000877 (2010)

Cuntz, H.; Förstner, F.; Haag, J.; Borst, A.: The morphological identity of insect dendrites. PLoS Computational Biology 4 (12), e1000251 (2008)

Weber, F.; Eichner, H.; Cuntz, H.; Borst, A.: Eigenanalysis of a neural network for optic flow processing. New Journal of Physics 10, 015013 (2008)

Cuntz, H.; Borst, A.; Segev, I.: Optimization principles of dendritic structure. Theoretical Biology and Medical Modeling 4, S. 28 - 28 (2007)

Cuntz, H.; Haag, J.; Förstner, F.; Segev, I.; Borst, A.: Robust coding of flow-field parameters by axo-axonal gap junctions between fly visual interneurons. Proceedings of the National Academy of Sciences of the United States of America 104 (24), S. 10229 - 10233 (2007)

Cuntz, H.; Haag, J.; Borst, A.: Neural image processing by dendritic networks. Proceedings of the National Academy of Sciences of the United States of America 100 (19), S. 11082 - 11085 (2003)

Cuntz, H.; Haag, J.; Borst, A.: Modelling the cellular mechanisms of fly optic flow processing. In: Springer Series in Computational Neuroscience, Bd. 11, S. 259 - 275 (Hg. Cuntz, H.; Remme, M. W. H.; Torben-Nielsen, B.). Springer, New York (2014)

Cuntz, H.: Input organization of motion-sensitive interneurons in the fly. Dissertation, Eberhard-Karls-Universität, Tübingen (2004)