2009 | ||
---|---|---|
91 | EE | Nicolas Neubauer, Robert Wetzker, Klaus Obermayer: Tag spam creates large non-giant connected components. AIRWeb 2009: 49-52 |
90 | EE | Michal Natora, Felix Franke, Matthias Munk, Klaus Obermayer: Blind Source Separation of Sparse Overcomplete Mixtures and Application to Neural Recordings. ICA 2009: 459-466 |
2008 | ||
89 | EE | Bartek Ochab, Nicolas Neubauer, Klaus Obermayer: Personalized Recommendations for the Web 3D. AH 2008: 374-377 |
88 | EE | Susanne Schönknecht, Carsten Duch, Klaus Obermayer, Michael Sibila: 3D Reconstruction of Neurons from Confocal Image Stacks and Visualization of Computational Modeling Experiments. Bildverarbeitung für die Medizin 2008: 158-162 |
87 | EE | Manuel André Gaudnek, Andreas Hess, Klaus Obermayer, Michael Sibila: Measuring the Reliability of Geometries in Magnet Resonance Angiography A Reference for Multimodal Image Registration?. Bildverarbeitung für die Medizin 2008: 368-372 |
86 | EE | Manuel André Gaudnek, Andreas Hess, Klaus Obermayer, Michael Sibila: Adaptive Threshold Masking. Bildverarbeitung für die Medizin 2008: 373-376 |
85 | EE | Brijnesh J. Jain, Klaus Obermayer: On the sample mean of graphs. IJCNN 2008: 993-1000 |
84 | EE | Arno Onken, Steffen Grünewälder, Matthias Munk, Klaus Obermayer: Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex. NIPS 2008: 1233-1240 |
83 | EE | Klaus Wimmer, Marcel Stimberg, Robert Martin, Lars Schwabe, Jorge Mariño, James Schummers, David C. Lyon, Mriganka Sur, Klaus Obermayer: Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1. NIPS 2008: 1769-1776 |
82 | EE | Tilman Knebel, Sepp Hochreiter, Klaus Obermayer: An SMO Algorithm for the Potential Support Vector Machine. Neural Computation 20(1): 271-287 (2008) |
2007 | ||
81 | EE | Steffen Grünewälder, Sepp Hochreiter, Klaus Obermayer: Optimality of LSTD and its Relation to MC. IJCNN 2007: 338-343 |
80 | EE | Nicolas Neubauer, Christian Scheel, Sahin Albayrak, Klaus Obermayer: Distance Measures in Query Space: How Strongly to Use Feedback From Past Queries. Web Intelligence 2007: 607-613 |
79 | EE | Sepp Hochreiter, Martin Heusel, Klaus Obermayer: Fast model-based protein homology detection without alignment. Bioinformatics 23(14): 1728-1736 (2007) |
78 | EE | Marcel Stimberg, Thomas Hoch, Klaus Obermayer: The effect of background noise on the precision of pulse packet propagation in feed-forward networks. Neurocomputing 70(10-12): 1824-1828 (2007) |
2006 | ||
77 | EE | Roland Vollgraf, Klaus Obermayer: Sparse Optimization for Second Order Kernel Methods. IJCNN 2006: 145-152 |
76 | EE | Sambu Seo, Klaus Obermayer: Dynamic Hyperparameter Scaling Method for LVQ Algorithms. IJCNN 2006: 3196-3203 |
75 | EE | Johannes Mohr, Imke Puis, Jana Wrase, Sepp Hochreiter, Andreas Heinz, Klaus Obermayer: P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data. IJCNN 2006: 5020-5027 |
74 | EE | Sepp Hochreiter, Djork-Arné Clevert, Klaus Obermayer: A new summarization method for affymetrix probe level data. Bioinformatics 22(8): 943-949 (2006) |
73 | EE | Sepp Hochreiter, Klaus Obermayer: Support Vector Machines for Dyadic Data. Neural Computation 18(6): 1472-1510 (2006) |
2005 | ||
72 | EE | Manuel André Gaudnek, Andreas Hess, Klaus Obermayer, Lubos Budinsky, Kay Brune, Michael Sibila: Geometric Reconstruction of the Vascular System of the Rat Brain Imaged by MRA. Bildverarbeitung für die Medizin 2005: 178-182 |
71 | EE | Manuel André Gaudnek, Andreas Hess, Klaus Obermayer, Lubos Budinsky, Kay Brune, Michael Sibila: Geometric reconstruction of the rat vascular system imaged by MRA. ICIP (2) 2005: 1278-1281 |
70 | EE | Akhil R. Garg, Klaus Obermayer, Basabi Bhaumik: Development of feedforward receptive field structure of a simple cell and its contribution to the orientation selectivity: a modeling study. Int. J. Neural Syst. 15(1-2): 55-70 (2005) |
69 | EE | Thomas Hoch, Gregor Wenning, Klaus Obermayer: The effect of correlations in the background activity on the information transmission properties of neural populations. Neurocomputing 65-66: 365-370 (2005) |
2004 | ||
68 | EE | Akhil R. Garg, Basabi Bhaumik, Klaus Obermayer: Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions. ICONIP 2004: 64-69 |
67 | EE | Akhil R. Garg, Basabi Bhaumik, Klaus Obermayer: The Balance Between Excitation and Inhibition Not Only Leads to Variable Discharge of Cortical Neurons but Also to Contrast Invariant Orientation Tuning. ICONIP 2004: 90-95 |
66 | EE | Johannes Mohr, Klaus Obermayer: A Topographic Support Vector Machine: Classification Using Local Label Configurations. NIPS 2004 |
65 | EE | Sambu Seo, Klaus Obermayer: Self-organizing maps and clustering methods for matrix data. Neural Networks 17(8-9): 1211-1229 (2004) |
64 | EE | Jacob Kanev, Gregor Wenning, Klaus Obermayer: Approximating the response-stimulus correlation for the integrate-and-fire neuron. Neurocomputing 58-60: 47-52 (2004) |
2003 | ||
63 | Suzanna Becker, Sebastian Thrun, Klaus Obermayer: Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, NIPS 2002, December 9-14, 2002, Vancouver, British Columbia, Canada] MIT Press 2003 | |
62 | Johannes Mohr, Andreas Hess, Michael Scholz, Klaus Obermayer: Segmentation of 2 1/2 D brain image stacks with automatic extraction and visualization of functional information. ICIP (2) 2003: 1089-1092 | |
61 | EE | Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen, Klaus Obermayer: Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression. NIPS 2003 |
60 | EE | Sambu Seo, Klaus Obermayer: Soft Learning Vector Quantization. Neural Computation 15(7): 1589-1604 (2003) |
59 | EE | Lars Schwabe, Klaus Obermayer: Modeling the adaptive visual system: a survey of principled approaches. Neural Networks 16(9): 1353-1371 (2003) |
58 | EE | Hauke Bartsch, Klaus Obermayer: Second-order statistics of natural images. Neurocomputing 52-54: 467-472 (2003) |
57 | EE | Thomas Hoch, Gregor Wenning, Klaus Obermayer: Adaptation using local information for maximizing the global cost. Neurocomputing 52-54: 541-546 (2003) |
2002 | ||
56 | Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess: Comparison of Different 3D Edge Detection Methods to Define Landmarks for Point-Based Warping in Autoradiographic Brain Imaging. Bildverarbeitung für die Medizin 2002: 318-321 | |
55 | EE | Sepp Hochreiter, Michael Mozer, Klaus Obermayer: Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems. NIPS 2002: 545-552 |
54 | EE | Sepp Hochreiter, Klaus Obermayer: Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers. NIPS 2002: 889-896 |
53 | EE | Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess: Performance of 3D Landmark Detection Methods for Point-Based Warping in Autoradiographic Brain Imaging. SSIAI 2002: 269-273 |
52 | EE | Anca Dima, Michael Scholz, Klaus Obermayer: Automatic segmentation and skeletonization of neurons from confocal microscopy images based on the 3-D wavelet transform. IEEE Transactions on Image Processing 11(7): 790-801 (2002) |
51 | EE | Nigel M. Allinson, Hujun Yin, Klaus Obermayer: Introduction: new developments in self-organising maps. Neural Networks 15(8-9): 943- (2002) |
50 | EE | Gregor Wenning, Klaus Obermayer: Adjusting stochastic resonance in a leaky integrate and fire neuron to sub-threshold stimulus distributions. Neurocomputing 44-46: 225-231 (2002) |
49 | EE | Hauke Bartsch, Klaus Obermayer: A structure preserving image transformation as the goal of visual sensory coding. Neurocomputing 44-46: 729-734 (2002) |
2001 | ||
48 | EE | Hauke Bartsch, Martin Stetter, Klaus Obermayer: On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex. Emergent Neural Computational Architectures Based on Neuroscience 2001: 174-187 |
47 | EE | Cornelius Weber, Klaus Obermayer: Emergence of Modularity within One Sheet of Neurons: A Model Comparison. Emergent Neural Computational Architectures Based on Neuroscience 2001: 53-67 |
46 | EE | Roland Vollgraf, Ingo Schießl, Klaus Obermayer: Blind Source Separation of Single Components from Linear Mixtures. ICANN 2001: 509-514 |
45 | EE | Gregor Wenning, Klaus Obermayer: Activity Driven Adaptive Stochastic Resonance. NIPS 2001: 301-308 |
44 | EE | Roland Vollgraf, Klaus Obermayer: Multi Dimensional ICA to Separate Correlated Sources. NIPS 2001: 993-1000 |
43 | EE | Lars Schwabe, Péter Adorján, Klaus Obermayer: Spike-frequency adaptation as a mechanism for dynamic coding in V1. Neurocomputing 38-40: 351-358 (2001) |
42 | EE | Hauke Bartsch, Martin Stetter, Klaus Obermayer: Contextual effects by short range connections in a mean-field model of V1. Neurocomputing 38-40: 475-481 (2001) |
2000 | ||
41 | Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess: A New Approach to Define Landmarks for Point-Based Warping in Brain Imaging. Bildverarbeitung für die Medizin 2000: 28-32 | |
40 | Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer: Gaussian Process Regression: Active Data Selection and Test Point Rejection. DAGM-Symposium 2000: 27-34 | |
39 | Ingo Schießl, Martin Stetter, John E. W. Mayhew, Niall McLoughlin, Jennifer S. Lund, Klaus Obermayer: Blind Signal Separation from Optical Imaging Data. DAGM-Symposium 2000: 91-98 | |
38 | EE | Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer: Gaussian Process Regression: Active Data Selection and Test Point Rejection. IJCNN (3) 2000: 241-246 |
37 | EE | Cornelius Weber, Klaus Obermayer: Structured Models from Structured Data: Emergence of Modular Information Processing within One Sheet of Neurons. IJCNN (4) 2000: 608-613 |
36 | EE | Lars Schwabe, Péter Adorján, Klaus Obermayer: A Dynamic Cortical Amplifier Model for Fast Information Processing. IJCNN (5) 2000: 431-435 |
35 | EE | Hendrik Purwins, Benjamin Blankertz, Klaus Obermayer: A New Method for Tracking Modulations in Tonal Music in Audio Data Format. IJCNN (6) 2000: 270-278 |
34 | EE | Rainer Pielot, Eckart D. Gundelfinger, Andreas Hess, Michael Scholz, Klaus Obermayer: Warping with Optimized Weighting Factors of Displacement Vectors - A New Method to Reduce Inter-Individual Variations in Brain Imaging. SSIAI 2000: 264-268 |
33 | T. Müller, Martin Stetter, Mark Hübener, F. Sengpiel, Tobias Bonhoeffer, I. Gödecke, B. Chapman, Siegrid Löwel, Klaus Obermayer: An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets. Neural Computation 12(11): 2573-2595 (2000) | |
32 | EE | Hauke Bartsch, Martin Stetter, Klaus Obermayer: The influence of threshold variability on the response of visual cortical neurons. Neurocomputing 32-33: 37-43 (2000) |
1999 | ||
31 | Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess: Optimiertes Warping durch gewichtete Summen von Verschiebungsvektoren - eine neue Methode zur Reduktion von interindividuellen Variabilitäten von Hirndaten. Bildverarbeitung für die Medizin 1999: 417-421 | |
30 | EE | Thore Graepel, Ralf Herbrich, Klaus Obermayer: Bayesian Transduction. NIPS 1999: 456-462 |
29 | EE | Péter Adorján, Lars Schwabe, Christian Piepenbrock, Klaus Obermayer: Recurrent Cortical Competition: Strengthen or Weaken? NIPS 1999: 89-95 |
28 | EE | Holger Schoner, Martin Stetter, Ingo Schießl, John E. W. Mayhew, Jennifer S. Lund, Niall McLoughlin, Klaus Obermayer: Application of Blind Separation of Sources to Optical Recording of Brain Activity. NIPS 1999: 949-955 |
27 | Thore Graepel, Klaus Obermayer: A Stochastic Self-Organizing Map for Proximity Data. Neural Computation 11(1): 139-155 (1999) | |
26 | EE | Péter Adorján, György Barna, Péter Érdi, Klaus Obermayer: A statistical neural field approach to orientation selectivity. Neurocomputing 26-27: 313-318 (1999) |
25 | EE | Christian Piepenbrock, Klaus Obermayer: Effects of lateral competition in the primary visual cortex on the development of topographic projections and ocular dominance maps. Neurocomputing 26-27: 477-482 (1999) |
1998 | ||
24 | Martin Stetter, Péter Adorján, Hauke Bartsch, Klaus Obermayer: Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex. ICONIP 1998: 669-672 | |
23 | Péter Érdi, Ádám Kepecs, Máté Lengyel, Klaus Obermayer, Zoltán Szatmáry: Dynamics of the Hippocampus: Multiple Strategies. ICONIP 1998: 777-780 | |
22 | EE | Christian Piepenbrock, Klaus Obermayer: The Role of Lateral Cortical Competition in Ocular Dominance Development. NIPS 1998: 139-145 |
21 | EE | Thore Graepel, Ralf Herbrich, Peter Bollmann-Sdorra, Klaus Obermayer: Classification on Pairwise Proximity Data. NIPS 1998: 438-444 |
20 | EE | Péter Adorján, Klaus Obermayer: Contrast Adaptation in Simple Cells by Changing the Transmitter Release Probability. NIPS 1998: 76-82 |
19 | EE | Thore Graepel, Matthias Burger, Klaus Obermayer: Self-organizing maps: Generalizations and new optimization techniques. Neurocomputing 21(1-3): 173-190 (1998) |
1997 | ||
18 | Mario Südholt, Christian Piepenbrock, Klaus Obermayer, Peter Pepper: Solving large systems of differential equations in parallel using covers and skeletons. Algorithmic Languages and Calculi 1997: 132-159 | |
17 | Martin Stetter, Elmar Wolfgang Lang, Klaus Obermayer: Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17. ICANN 1997: 189-194 | |
16 | Ute Bauer, Péter Adorján, Michael Scholz, Jonathan B. Levitt, Jennifer S. Lund, Klaus Obermayer: On the Anatomical Basis of Field Size, Contrast Sensitivity, and Orientation Selectivity in Macaque Striate Cortex: A Model Study. ICANN 1997: 213-218 | |
15 | Hauke Bartsch, Martin Stetter, Klaus Obermayer: A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields. ICANN 1997: 237-242 | |
14 | Matthias Burger, Thore Graepel, Klaus Obermayer: Phase Transitions in Soft Topographic Vector Quantization. ICANN 1997: 619-624 | |
13 | Matthias Burger, Thore Graepel, Klaus Obermayer: An Annealed Self-Organizing Map for Source Channel Coding. NIPS 1997 | |
12 | EE | Klaus Obermayer, Gary G. Blasdel: Singularities in Primate Orientation Maps. Neural Computation 9(3): 555-575 (1997) |
11 | EE | Christian Piepenbrock, Helge Ritter, Klaus Obermayer: The Joint Development of Orientation and Ocular Dominance: Role of Constraints. Neural Computation 9(5): 959-970 (1997) |
1996 | ||
10 | Christian Piepenbrock, Helge Ritter, Klaus Obermayer: Cortical Map Development Driven by Spontaneous Retinal Activity Waves. ICANN 1996: 427-432 | |
9 | Christian Piepenbrock, Helge Ritter, Klaus Obermayer: Linear Correlation-Based Learning Models Require a Two-Stage Process for the Development of Orientation and Ocular Dominance. Neural Processing Letters 3(1): 31-37 (1996) | |
1995 | ||
8 | EE | E. Erwin, Klaus Obermayer, Klaus Schulten: Models of orientation and ocular dominance columns in the visual cortex: a critical comparison. Neural Computation 7(3): 425-468 (1995) |
1994 | ||
7 | EE | E. Erwin, Klaus Obermayer, Klaus Schulten: A Critical Comparison of Models for Orientation and Ocular Dominance Columns in the Striate Cortex. NIPS 1994: 93-100 |
6 | EE | Gary G. Blasdel, Klaus Obermayer: Putative strategies of scene segmentation in monkey visual cortex. Neural Networks 7(6-7): 865-881 (1994) |
1993 | ||
5 | Klaus Obermayer: Adaptive Neuronale Netze und ihre Anwendung als Modelle der Entwicklung kortikaler Karten. Infix Verlag, St. Augustin, Germany 1993 | |
4 | EE | Klaus Obermayer, Lynne Kiorpes, Gary G. Blasdel: Development of Orientation and Ocular Dominance Columns in Infant Macaques. NIPS 1993: 543-550 |
1991 | ||
3 | EE | Klaus Obermayer, Klaus Schulten, Gary G. Blasdel: A Comparison between a Neural Network Model for the Formation of Brain Maps and Experimental Data. NIPS 1991: 83-90 |
1990 | ||
2 | EE | Klaus Obermayer, Helge Ritter, Klaus Schulten: Development and Spatial Structure of Cortical Feature Maps: A Model Study. NIPS 1990: 11-17 |
1 | Klaus Obermayer, Helge Ritter, Klaus Schulten: Large-scale simulations of self-organizing neural networks on parallel computers: application to biological modelling. Parallel Computing 14(3): 381-404 (1990) |