Klaus Obermayer

Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer: Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis. Machine Learning 89(1-2): 67-86 (2012)

Josef Ladenbauer, Moritz Augustin, LieJune Shiau, Klaus Obermayer: Impact of Adaptation Currents on Synchronization of Coupled Exponential Integrate-and-Fire Neurons. PLoS Computational Biology 8(4) (2012)

Arno Onken, Valentin Dragoi, Klaus Obermayer: A Maximum Entropy Test for Evaluating Higher-Order Correlations in Spike Counts. PLoS Computational Biology 8(6) (2012)

Kamil Adilolu, Robert Anniés, Elio Wahlen, Hendrik Purwins, Klaus Obermayer: A Graphical Representation and Dissimilarity Measure for Basic Everyday Sound Events. IEEE Transactions on Audio, Speech & Language Processing 20(5): 1542-1552 (2012)

Sambu Seo, Johannes Mohr, Hauke R. Heekeren, Andreas Heinz, Ben Eppinger, Shu-Chen Li, Klaus Obermayer: A voxel selection method for the multivariate analysis of imaging genetics data. IJCNN 2012: 1-7

Brijnesh J. Jain, Klaus Obermayer: Learning in Riemannian Orbifolds. CoRR abs/1204.4294 (2012)

Brijnesh J. Jain, Klaus Obermayer: Graph quantization. Computer Vision and Image Understanding 115(7): 946-961 (2011)

Michal Natora, Klaus Obermayer: An Unsupervised and Drift-Adaptive Spike Detection Algorithm Based on Hybrid Blind Beamforming. EURASIP J. Adv. Sig. Proc. 2011 (2011)

Steffen Grünewälder, Klaus Obermayer: The optimal unbiased value estimator and its relation to LSTD, TD and MC. Machine Learning 83(3): 289-330 (2011)

Nicolas Neubauer, Klaus Obermayer: Tripartite community structure in social bookmarking data. The New Review of Hypermedia and Multimedia 17(3): 267-294 (2011)

Brijnesh J. Jain, Klaus Obermayer: Maximum Likelihood for Gaussians on Graphs. GbRPR 2011: 62-71

Brijnesh J. Jain, Klaus Obermayer: Generalized Learning Graph Quantization. GbRPR 2011: 122-131

Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer: Regularized Sparse Kernel Slow Feature Analysis. ECML/PKDD (1) 2011: 235-248

Brijnesh J. Jain, Klaus Obermayer: Extending Bron Kerbosch for Solving the Maximum Weight Clique Problem. CoRR abs/1101.1266 (2011)

S. Deepak Srinivasan, Klaus Obermayer: Probabilistic prototype models for attributed graphs. CoRR abs/1109.4744 (2011)

Yun Shen, Steffen Grünewälder, Klaus Obermayer: A Unified Framework for Risk-sensitive Markov Decision Processes with Finite State and Action Spaces. CoRR abs/1110.6317 (2011)

Felix Franke, Michal Natora, Clemens Boucsein, Matthias H. J. Munk, Klaus Obermayer: An online spike detection and spike classification algorithm capable of instantaneous resolution of overlapping spikes. Journal of Computational Neuroscience 29(1-2): 127-148 (2010)

Brijnesh J. Jain, Klaus Obermayer: Consistent Estimator of Median and Mean Graph. ICPR 2010: 1032-1035

Brijnesh J. Jain, Klaus Obermayer: Elkan's k-Means Algorithm for Graphs. MICAI (2) 2010: 22-32

Brijnesh J. Jain, S. Deepak Srinivasan, Alexander Tissen, Klaus Obermayer: Learning Graph Quantization. SSPR/SPR 2010: 109-118

Brijnesh J. Jain, Klaus Obermayer: Large Sample Statistics in the Domain of Graphs. SSPR/SPR 2010: 690-697

Brijnesh J. Jain, Klaus Obermayer: Graph Quantization. CoRR abs/1001.0921 (2010)

Brijnesh J. Jain, Klaus Obermayer: Accelerating Competitive Learning Graph Quantization. CoRR abs/1001.0927 (2010)

Brijnesh J. Jain, Klaus Obermayer: Structure Spaces. Journal of Machine Learning Research 10: 2667-2714 (2009)

Imke Puls, Johannes Mohr, Jana Wrase, Sabine Vollstädt-Klein, Tagrid Leménager, Christian Vollmert, Michael Rapp, Klaus Obermayer, Andreas Heinz, Michael N. Smolka: A model comparison of COMT effects on central processing of affective stimuli. NeuroImage 46(3): 683-691 (2009)

Arno Onken, Steffen Grünewälder, Matthias H. J. Munk, Klaus Obermayer: Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation. PLoS Computational Biology 5(11) (2009)

Nicolas Neubauer, Robert Wetzker, Klaus Obermayer: Tag spam creates large non-giant connected components. AIRWeb 2009: 49-52

Brijnesh J. Jain, Klaus Obermayer: Algorithms for the Sample Mean of Graphs. CAIP 2009: 351-359

Nicolas Neubauer, Klaus Obermayer: Hyperincident connected components of tagging networks. Hypertext 2009: 229-238

Sambu Seo, Johannes Mohr, Klaus Obermayer: A New Incremental Pairwise Clustering Algorithm. ICMLA 2009: 223-228

Michal Natora, Felix Franke, Matthias H. J. Munk, Klaus Obermayer: Blind Source Separation of Sparse Overcomplete Mixtures and Application to Neural Recordings. ICA 2009: 459-466

Brijnesh J. Jain, Klaus Obermayer: Bimal: Bipartite matching alignment for the contact map overlap problem. IJCNN 2009: 1394-1400

Brijnesh J. Jain, Brijnesh Stehr, Michael Lappe, Klaus Obermayer: Multiple alignment of contact maps. IJCNN 2009: 1401-1406

Arno Onken, Steffen Grünewälder, Klaus Obermayer: Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies. NIPS 2009: 1383-1391

Brijnesh J. Jain, Klaus Obermayer: A Necessary and Sufficient Condition for Graph Matching Being Equivalent to the Maximum Weight Clique Problem. CoRR abs/0912.4584 (2009)

Brijnesh J. Jain, Klaus Obermayer: Elkan's k-Means for Graphs. CoRR abs/0912.4598 (2009)

Falk-Florian Henrich, Klaus Obermayer: Active Learning by Spherical Subdivision. Journal of Machine Learning Research 9: 105-130 (2008)

Tilman Knebel, Sepp Hochreiter, Klaus Obermayer: An SMO Algorithm for the Potential Support Vector Machine. Neural Computation 20(1): 271-287 (2008)

Klaus Wimmer, K. Jannis Hildebrandt, R. Matthias Hennig, Klaus Obermayer: Adaptation and Selective Information Transmission in the Cricket Auditory Neuron AN2. PLoS Computational Biology 4(9) (2008)

Bartek Ochab, Nicolas Neubauer, Klaus Obermayer: Personalized Recommendations for the Web 3D. AH 2008: 374-377

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

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

Manuel André Gaudnek, Andreas Hess, Klaus Obermayer, Michael Sibila: Adaptive Threshold Masking. Bildverarbeitung für die Medizin 2008: 373-376

Johannes Mohr, Sambu Seo, Imke Puls, Andreas Heinz, Klaus Obermayer: Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies. ICMLA 2008: 182-187

Johannes Mohr, Sambu Seo, Klaus Obermayer: Automated Microarray Classification Based on P-SVM Gene Selection. ICMLA 2008: 503-507

Brijnesh J. Jain, Klaus Obermayer: On the sample mean of graphs. IJCNN 2008: 993-1000

Arno Onken, Steffen Grünewälder, Matthias H. J. Munk, Klaus Obermayer: Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex. NIPS 2008: 1233-1240

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

Sepp Hochreiter, Martin Heusel, Klaus Obermayer: Fast model-based protein homology detection without alignment. Bioinformatics 23(14): 1728-1736 (2007)

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)

Steffen Grünewälder, Sepp Hochreiter, Klaus Obermayer: Optimality of LSTD and its Relation to MC. IJCNN 2007: 338-343

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

Sepp Hochreiter, Djork-Arné Clevert, Klaus Obermayer: A new summarization method for affymetrix probe level data. Bioinformatics 22(8): 943-949 (2006)

Sepp Hochreiter, Klaus Obermayer: Support Vector Machines for Dyadic Data. Neural Computation 18(6): 1472-1510 (2006)

Roland Vollgraf, Klaus Obermayer: Quadratic optimization for simultaneous matrix diagonalization. IEEE Transactions on Signal Processing 54(9): 3270-3278 (2006)

Roland Vollgraf, Klaus Obermayer: Sparse Optimization for Second Order Kernel Methods. IJCNN 2006: 145-152

Sambu Seo, Klaus Obermayer: Dynamic Hyperparameter Scaling Method for LVQ Algorithms. IJCNN 2006: 3196-3203

Johannes Mohr, Imke Puls, 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

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)

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)

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

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

Jacob Kanev, Gregor Wenning, Klaus Obermayer: Approximating the response-stimulus correlation for the integrate-and-fire neuron. Neurocomputing 58-60: 47-52 (2004)

Sambu Seo, Klaus Obermayer: Self-organizing maps and clustering methods for matrix data. Neural Networks 17(8-9): 1211-1229 (2004)

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)

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

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

Johannes Mohr, Klaus Obermayer: A Topographic Support Vector Machine: Classification Using Local Label Configurations. NIPS 2004

Hauke Bartsch, Klaus Obermayer: Second-order statistics of natural images. Neurocomputing 52-54: 467-472 (2003)

Thomas Hoch, Gregor Wenning, Klaus Obermayer: Adaptation using local information for maximizing the global cost. Neurocomputing 52-54: 541-546 (2003)

Anca Dima, Michael Scholz, Klaus Obermayer: Automatic three-dimensional graph construction of nerve cells from confocal microscopy scans. J. Electronic Imaging 12(1): 134-150 (2003)

Sambu Seo, Klaus Obermayer: Soft Learning Vector Quantization. Neural Computation 15(7): 1589-1604 (2003)

Lars Schwabe, Klaus Obermayer: Modeling the adaptive visual system: a survey of principled approaches. Neural Networks 16(9): 1353-1371 (2003)

Sambu Seo, Mathias Bode, Klaus Obermayer: Soft nearest prototype classification. IEEE Transactions on Neural Networks 14(2): 390-398 (2003)

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

Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen, Klaus Obermayer: Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression. NIPS 2003

Suzanna Becker, Sebastian Thrun, Klaus Obermayer (Eds.): Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, NIPS 2002, December 9-14, 2002, Vancouver, British Columbia, Canada]. MIT Press 2003, isbn 0-262-02550-7

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)

Hauke Bartsch, Klaus Obermayer: A structure preserving image transformation as the goal of visual sensory coding. Neurocomputing 44-46: 729-734 (2002)

Nigel M. Allinson, Hujun Yin, Klaus Obermayer: Introduction: new developments in self-organising maps. Neural Networks 15(8-9): 943- (2002)

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)

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

Sepp Hochreiter, Michael Mozer, Klaus Obermayer: Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems. NIPS 2002: 545-552

Sepp Hochreiter, Klaus Obermayer: Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers. NIPS 2002: 889-896

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

Lars Schwabe, Péter Adorján, Klaus Obermayer: Spike-frequency adaptation as a mechanism for dynamic coding in V1. Neurocomputing 38-40: 351-358 (2001)

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)

Roland Vollgraf, Ingo Schießl, Klaus Obermayer: Blind Source Separation of Single Components from Linear Mixtures. ICANN 2001: 509-514

Hyoung-Gook Kim, Klaus Obermayer, Mathias Bode, Dietmar Ruwisch: Efficient speech enhancement by diffusive gain factors (DGF). INTERSPEECH 2001: 1867-1870

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

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

Gregor Wenning, Klaus Obermayer: Activity Driven Adaptive Stochastic Resonance. NIPS 2001: 301-308

Roland Vollgraf, Klaus Obermayer: Multi Dimensional ICA to Separate Correlated Sources. NIPS 2001: 993-1000

Martin Stetter, Hauke Bartsch, Klaus Obermayer: A mean-field model for orientation tuning, contrast saturation, and contextual effects in the primary visual cortex. Biological Cybernetics 82(4): 291-304 (2000)

Christian Piepenbrock, Klaus Obermayer: The effect of intracortical competition on the formation of topographic maps in models of Hebbian learning. Biological Cybernetics 82(4): 345-353 (2000)

Hauke Bartsch, Martin Stetter, Klaus Obermayer: The influence of threshold variability on the response of visual cortical neurons. Neurocomputing 32-33: 37-43 (2000)

T. Müller, Martin Stetter, Mark Hübener, Frank 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)

Ingo Schießl, Martin Stetter, John E. W. Mayhew, Niall McLoughlin, Jennifer S. Lund, Klaus Obermayer: Blind signal separation from optical imaging recordings with extended spatial decorrelation. IEEE Trans. Biomed. Engineering 47(5): 573-577 (2000)

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

Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer: Gaussian Process Regression: Active Data Selection and Test Point Rejection. DAGM-Symposium 2000: 27-34

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

Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer: Gaussian Process Regression: Active Data Selection and Test Point Rejection. IJCNN (3) 2000: 241-246

Hendrik Purwins, Benjamin Blankertz, Klaus Obermayer: A New Method for Tracking Modulations in Tonal Music in Audio Data Format. IJCNN (6) 2000: 270-278

Lars Schwabe, Péter Adorján, Klaus Obermayer: A Dynamic Cortical Amplifier Model for Fast Information Processing. IJCNN (5) 2000: 431-435

Cornelius Weber, Klaus Obermayer: Structured Models from Structured Data: Emergence of Modular Information Processing within One Sheet of Neurons. IJCNN (4) 2000: 608-613

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

Péter Adorján, György Barna, Péter Érdi, Klaus Obermayer: A statistical neural field approach to orientation selectivity. Neurocomputing 26-27: 313-318 (1999)

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)

Thore Graepel, Klaus Obermayer: A Stochastic Self-Organizing Map for Proximity Data. Neural Computation 11(1): 139-155 (1999)

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

Péter Adorján, Lars Schwabe, Christian Piepenbrock, Klaus Obermayer: Recurrent Cortical Competition: Strengthen or Weaken? NIPS 1999: 89-95

Thore Graepel, Ralf Herbrich, Klaus Obermayer: Bayesian Transduction. NIPS 1999: 456-462

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

Thore Graepel, Matthias Burger, Klaus Obermayer: Self-organizing maps: Generalizations and new optimization techniques. Neurocomputing 21(1-3): 173-190 (1998)

Martin Stetter, Péter Adorján, Hauke Bartsch, Klaus Obermayer: Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex. ICONIP 1998: 669-672

Péter Érdi, Ádám Kepecs, Máté Lengyel, Klaus Obermayer, Zoltán Szatmáry: Dynamics of the Hippocampus: Multiple Strategies. ICONIP 1998: 777-780

Péter Adorján, Klaus Obermayer: Contrast Adaptation in Simple Cells by Changing the Transmitter Release Probability. NIPS 1998: 76-82

Christian Piepenbrock, Klaus Obermayer: The Role of Lateral Cortical Competition in Ocular Dominance Development. NIPS 1998: 139-145

Thore Graepel, Ralf Herbrich, Peter Bollmann-Sdorra, Klaus Obermayer: Classification on Pairwise Proximity Data. NIPS 1998: 438-444

Klaus Obermayer, Gary G. Blasdel: Singularities in Primate Orientation Maps. Neural Computation 9(3): 555-575 (1997)

Christian Piepenbrock, Helge Ritter, Klaus Obermayer: The Joint Development of Orientation and Ocular Dominance: Role of Constraints. Neural Computation 9(5): 959-970 (1997)

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

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

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

Hauke Bartsch, Martin Stetter, Klaus Obermayer: A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields. ICANN 1997: 237-242

Matthias Burger, Thore Graepel, Klaus Obermayer: Phase Transitions in Soft Topographic Vector Quantization. ICANN 1997: 619-624

Matthias Burger, Thore Graepel, Klaus Obermayer: An Annealed Self-Organizing Map for Source Channel Coding. NIPS 1997

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)

Christian Piepenbrock, Helge Ritter, Klaus Obermayer: Cortical Map Development Driven by Spontaneous Retinal Activity Waves. ICANN 1996: 427-432

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)

Gary G. Blasdel, Klaus Obermayer: Putative strategies of scene segmentation in monkey visual cortex. Neural Networks 7(6-7): 865-881 (1994)

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

Klaus Obermayer: Adaptive Neuronale Netze und ihre Anwendung als Modelle der Entwicklung kortikaler Karten. DISKI 24, Infix Verlag, St. Augustin, Germany 1993, isbn 3-929037-24-6

E. Erwin, Klaus Obermayer, Klaus Schulten: Erratum. Biological Cybernetics 68(3): 285 (1993)

Klaus Obermayer, Lynne Kiorpes, Gary G. Blasdel: Development of Orientation and Ocular Dominance Columns in Infant Macaques. NIPS 1993: 543-550

E. Erwin, Klaus Obermayer, Klaus Schulten: Self-organizing maps: stationary states, metastability and convergence rate. Biological Cybernetics 67(1): 35-45 (1992)

E. Erwin, Klaus Obermayer, Klaus Schulten: Self-organizing maps: ordering, convergence properties and energy functions. Biological Cybernetics 67(1): 47-55 (1992)

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

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)

Klaus Obermayer, Helge Ritter, Klaus Schulten: Development and Spatial Structure of Cortical Feature Maps: A Model Study. NIPS 1990: 11-17