| * | 2009 |
|---|
| 95 | EE | Nicolas Neubauer,
Robert Wetzker,
Klaus Obermayer:
Tag spam creates large non-giant connected components.
AIRWeb 2009: 49-52 |
| 94 | EE | Brijnesh J. Jain,
Klaus Obermayer:
Algorithms for the Sample Mean of Graphs.
CAIP 2009: 351-359 |
| 93 | EE | Nicolas Neubauer,
Klaus Obermayer:
Hyperincident connected components of tagging networks.
Hypertext 2009: 229-238 |
| 92 | 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 |
|---|
| 91 | EE | Bartek Ochab,
Nicolas Neubauer,
Klaus Obermayer:
Personalized Recommendations for the Web 3D.
AH 2008: 374-377 |
| 90 | 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 |
| 89 | 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 |
| 88 | EE | Manuel André Gaudnek,
Andreas Hess,
Klaus Obermayer,
Michael Sibila:
Adaptive Threshold Masking.
Bildverarbeitung für die Medizin 2008: 373-376 |
| 87 | EE | Brijnesh J. Jain,
Klaus Obermayer:
On the sample mean of graphs.
IJCNN 2008: 993-1000 |
| 86 | 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 |
| 85 | 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 |
| 84 | EE | Tilman Knebel,
Sepp Hochreiter,
Klaus Obermayer:
An SMO Algorithm for the Potential Support Vector Machine.
Neural Computation 20(1): 271-287 (2008) |
| 2007 |
|---|
| 83 | EE | Steffen Grünewälder,
Sepp Hochreiter,
Klaus Obermayer:
Optimality of LSTD and its Relation to MC.
IJCNN 2007: 338-343 |
| 82 | 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 |
| 81 | EE | Sepp Hochreiter,
Martin Heusel,
Klaus Obermayer:
Fast model-based protein homology detection without alignment.
Bioinformatics 23(14): 1728-1736 (2007) |
| 80 | 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 |
|---|
| 79 | EE | Roland Vollgraf,
Klaus Obermayer:
Sparse Optimization for Second Order Kernel Methods.
IJCNN 2006: 145-152 |
| 78 | EE | Sambu Seo,
Klaus Obermayer:
Dynamic Hyperparameter Scaling Method for LVQ Algorithms.
IJCNN 2006: 3196-3203 |
| 77 | 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 |
| 76 | EE | Sepp Hochreiter,
Djork-Arné Clevert,
Klaus Obermayer:
A new summarization method for affymetrix probe level data.
Bioinformatics 22(8): 943-949 (2006) |
| 75 | EE | Roland Vollgraf,
Klaus Obermayer:
Quadratic optimization for simultaneous matrix diagonalization.
IEEE Transactions on Signal Processing 54(9): 3270-3278 (2006) |
| 74 | EE | Sepp Hochreiter,
Klaus Obermayer:
Support Vector Machines for Dyadic Data.
Neural Computation 18(6): 1472-1510 (2006) |
| 2005 |
|---|
| 73 | 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 |
| 72 | 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 |
| 71 | 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) |
| 70 | 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 |
|---|
| 69 | 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 |
| 68 | 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 |
| 67 | EE | Johannes Mohr,
Klaus Obermayer:
A Topographic Support Vector Machine: Classification Using Local Label Configurations.
NIPS 2004 |
| 66 | EE | Ingo Schwetz,
Gerhard Gruhler,
Klaus Obermayer:
Correlation and stationarity of speech radiation: consequences for linear multichannel filtering.
IEEE Transactions on Speech and Audio Processing 12(5): 460-467 (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) |
