Klaus Obermayer
Klaus Obermayer
Professor, Fakultät IV - Electrical Engineering and Computer Science, Technische Universität Berlin
Verified email at - Homepage
Cited by
Cited by
Large margin rank boundaries for ordinal regression
R Herbrich, T Graepel, K Obermayer
Support vector learning for ordinal regression
R Herbrich, T Graepel, K Obermayer
IET Digital Library, 1999
Self-organizing maps: ordering, convergence properties and energy functions
E Erwin, K Obermayer, K Schulten
Biological cybernetics 67 (1), 47-55, 1992
Geometry of orientation and ocular dominance columns in monkey striate cortex
K Obermayer, GG Blasdel
Journal of Neuroscience 13 (10), 4114-4129, 1993
Invariant computations in local cortical networks with balanced excitation and inhibition
J Mariño, J Schummers, DC Lyon, L Schwabe, O Beck, P Wiesing, ...
Nature neuroscience 8 (2), 194-201, 2005
Models of orientation and ocular dominance columns in the visual cortex: A critical comparison
E Erwin, K Obermayer, K Schulten
Neural computation 7 (3), 425-468, 1995
A new summarization method for Affymetrix probe level data
S Hochreiter, DA Clevert, K Obermayer
Bioinformatics 22 (8), 943-949, 2006
A principle for the formation of the spatial structure of cortical feature maps.
K Obermayer, H Ritter, K Schulten
Proceedings of the National Academy of Sciences 87 (21), 8345-8349, 1990
Gaussian process regression: Active data selection and test point rejection
S Seo, M Wallat, T Graepel, K Obermayer
Mustererkennung 2000: 22. DAGM-Symposium. Kiel, 13.–15. September 2000, 27-34, 2000
Statistical-mechanical analysis of self-organization and pattern formation during the development of visual maps
K Obermayer, GG Blasdel, K Schulten
Physical Review A 45 (10), 7568, 1992
Soft learning vector quantization
S Seo, K Obermayer
Neural computation 15 (7), 1589-1604, 2003
New methods for the computer-assisted 3-D reconstruction of neurons from confocal image stacks
S Schmitt, JF Evers, C Duch, M Scholz, K Obermayer
Neuroimage 23 (4), 1283-1298, 2004
Classification on pairwise proximity data
T Graepel, R Herbrich, P Bollmann-Sdorra, K Obermayer
Advances in neural information processing systems 11, 1998
The role of feedback in shaping the extra-classical receptive field of cortical neurons: a recurrent network model
L Schwabe, K Obermayer, A Angelucci, PC Bressloff
Journal of Neuroscience 26 (36), 9117-9129, 2006
Self-organizing maps: Stationary states, metastability and convergence rate
E Erwin, K Obermayer, K Schulten
Biological Cybernetics 67, 35-45, 1992
Fast model-based protein homology detection without alignment
S Hochreiter, M Heusel, K Obermayer
Bioinformatics 23 (14), 1728-1736, 2007
Self-organizing maps: generalizations and new optimization techniques
T Graepel, M Burger, K Obermayer
Neurocomputing 21 (1-3), 173-190, 1998
An online spike detection and spike classification algorithm capable of instantaneous resolution of overlapping spikes
F Franke, M Natora, C Boucsein, MHJ Munk, K Obermayer
Journal of computational neuroscience 29, 127-148, 2010
Risk-sensitive reinforcement learning
Y Shen, MJ Tobia, T Sommer, K Obermayer
Neural computation 26 (7), 1298-1328, 2014
Quadratic optimization for simultaneous matrix diagonalization
R Vollgraf, K Obermayer
IEEE Transactions on Signal Processing 54 (9), 3270-3278, 2006
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