Christoph von der Malsburg

Affiliations: 
Frankfurt Institute for Advanced Studies, Fijaš, Slovakia 
Area:
Neurobiology, Neural Networks, self-organization
Website:
http://fias.uni-frankfurt.de/~malsburg/index.php
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"Christoph von der Malsburg"
Mean distance: 12.35 (cluster 29)
 
SNBCP

Children

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Urs Bergmann grad student FIAS
Jörg Bornschein grad student FIAS
Peter Kalocsai grad student Pelco Co.
Christian Keck grad student FIAS
Ladan Shams grad student USC
Jochen Triesch grad student Ruhr Universitat Bochum; University of Southern California
Laurenz Wiskott grad student HU Berlin
Rolf P. Würtz grad student 1990-1994 Institut für Neuroinformatik
Hai Hong grad student 2001 USC
Kazunori Okada grad student 2001 USC
Junmei Zhu grad student 2004 USC
Xiangyu Tang grad student 2005 USC
Philipp Wolfrum grad student 2005-2008 FIAS
Lawrence M. Kite grad student 2009 USC
Jenia (Evgueni) Jitsev grad student 2007-2010 FIAS
Junmei Zhu post-doc FIAS
René Doursat post-doc 1991-1994 Ruhr-Universität Bochum
Yasuomi Daishin Sato post-doc 2005-2009 FIAS
Michael Lyons research scientist USC
Rolf P. Würtz research scientist 1997-2006 Institut für Neuroinformatik

Collaborators

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Wolf Singer collaborator FIAS
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Publications

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Margalit E, Biederman I, Herald SB, et al. (2016) An applet for the Gabor similarity scaling of the differences between complex stimuli. Attention, Perception & Psychophysics
Fernandes T, von der Malsburg C. (2015) Self-organization of control circuits for invariant fiber projections. Neural Computation. 27: 1005-32
Von Der Malsburg C. (2014) Physics and our intuitive outlook on time Direction of Time. 35-48
Von Der Malsburg C. (2014) A vision architecture Ncta 2014 - Proceedings of the International Conference On Neural Computation Theory and Applications. 345-350
Yue X, Biederman I, Mangini MC, et al. (2012) Predicting the psychophysical similarity of faces and non-face complex shapes by image-based measures. Vision Research. 55: 41-6
Bergmann U, von der Malsburg C. (2011) Self-organization of topographic bilinear networks for invariant recognition. Neural Computation. 23: 2770-97
Sato YD, Jitsev J, Bornschein J, et al. (2011) A Gabor wavelet pyramid-based object detection algorithm Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6676: 232-240
Sato YD, Jitsev J, Burwick T, et al. (2010) Dynamic link models for global decision making with binding-by-synchrony Proceedings - 2010 2nd World Congress On Nature and Biologically Inspired Computing, Nabic 2010. 201-208
Jitsev J, Von Der Malsburg C. (2010) Off-line memory reprocessing following on-line unsupervised learning strongly improves recognition performance in a hierarchical visual memory Proceedings of the International Joint Conference On Neural Networks
Sato YD, Jitsev J, Von Der Malsburg C. (2010) Visual object detection by specifying the scale and rotation transformations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6444: 616-624
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