A neural network model for the formation of topographic maps in the CNS: development of receptive fields. - Klaus Obermayer; Helge J. Ritter; Klaus Schulten (IJCNN, 1990)

Development and Spatial Structure of Cortical Feature Maps: A Model Study. - Klaus Obermayer; Helge J. Ritter; Klaus Schulten (NIPS, 1990)

Large-scale simulations of self-organizing neural networks on parallel computers: application to biological modelling. - Klaus Obermayer; Helge J. Ritter; Klaus Schulten (Parallel Comput., 1990)

A Comparison between a Neural Network Model for the Formation of Brain Maps and Experimental Data. - Klaus Obermayer; Klaus Schulten; Gary G. Blasdel (NIPS, 1991)

Self-organizing maps: stationary states, metastability and convergence rate. - E. Erwin; Klaus Obermayer; Klaus Schulten (Biol. Cybern., 1992)

Self-organizing maps: ordering, convergence properties and energy functions. - E. Erwin; Klaus Obermayer; Klaus Schulten (Biol. Cybern., 1992)

Adaptive Neuronale Netze und ihre Anwendung als Modelle der Entwicklung kortikaler Karten. - Klaus Obermayer (Infix Verlag, St. Augustin, Germany, 1993)

Development of Orientation and Ocular Dominance Columns in Infant Macaques. - Klaus Obermayer; Lynne Kiorpes; Gary G. Blasdel (NIPS, 1993)

Erratum. - E. Erwin; Klaus Obermayer; Klaus Schulten (Biol. Cybern., 1993)

A Critical Comparison of Models for Orientation and Ocular Dominance Columns in the Striate Cortex. - E. Erwin; Klaus Obermayer; Klaus Schulten (NIPS, 1994)

Putative strategies of scene segmentation in monkey visual cortex. - Gary G. Blasdel; Klaus Obermayer (Neural Networks, 1994)

Models of orientation and ocular dominance columns in the visual cortex: a critical comparison. - E. Erwin; Klaus Obermayer; Klaus Schulten (Neural Comput., 1995)

Cortical Map Development Driven by Spontaneous Retinal Activity Waves. - Christian Piepenbrock; Helge J. Ritter; Klaus Obermayer (ICANN, 1996)

Linear Correlation-Based Learning Models Require a Two-Stage Process for the Development of Orientation and Ocular Dominance. - Christian Piepenbrock; Helge J. Ritter; Klaus Obermayer (Neural Process. Lett., 1996)

Solving large systems of differential equations in parallel using covers and skeletons. - Mario Südholt; Christian Piepenbrock; Klaus Obermayer; Peter Pepper (Algorithmic Languages and Calculi, 1997)

A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields. - Hauke Bartsch; Martin Stetter; Klaus Obermayer (ICANN, 1997)

On the Anatomical Basis of Field Size, Contrast Sensitivity, and Orientation Selectivity in Macaque Striate Cortex: A Model Study. - Ute Bauer; Péter Adorján; Michael Scholz 003; Jonathan B. Levitt; Jennifer S. Lund; Klaus Obermayer (ICANN, 1997)

Phase Transitions in Soft Topographic Vector Quantization. - Matthias Burger; Thore Graepel; Klaus Obermayer (ICANN, 1997)

Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17. - Martin Stetter; Elmar Wolfgang Lang; Klaus Obermayer (ICANN, 1997)

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

Singularities in Primate Orientation Maps. - Klaus Obermayer; Gary G. Blasdel (Neural Comput., 1997)

The Joint Development of Orientation and Ocular Dominance: Role of Constraints. - Christian Piepenbrock; Helge J. Ritter; Klaus Obermayer (Neural Comput., 1997)

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

Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex. - Martin Stetter; Péter Adorján; Hauke Bartsch; Klaus Obermayer (ICONIP, 1998)

Contrast Adaptation in Simple Cells by Changing the Transmitter Release Probability. - Péter Adorján; Klaus Obermayer (NIPS, 1998)

Classification on Pairwise Proximity Data. - Thore Graepel; Ralf Herbrich; Peter Bollmann-Sdorra; Klaus Obermayer (NIPS, 1998)

The Role of Lateral Cortical Competition in Ocular Dominance Development. - Christian Piepenbrock; Klaus Obermayer (NIPS, 1998)

Self-organizing maps: Generalizations and new optimization techniques. - Thore Graepel; Matthias Burger; Klaus Obermayer (Neurocomputing, 1998)

Optimiertes Warping durch gewichtete Summen von Verschiebungsvektoren - eine neue Methode zur Reduktion von interindividuellen Variabilitäten von Hirndaten. - Rainer Pielot; Michael Scholz 003; Klaus Obermayer; Eckart D. Gundelfinger; Andreas Hess 001 (Bildverarbeitung für die Medizin, 1999)

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

Bayesian Transduction. - Thore Graepel; Ralf Herbrich; Klaus Obermayer (NIPS, 1999)

Application of Blind Separation of Sources to Optical Recording of Brain Activity. - Holger Schoner; Martin Stetter; Ingo Schießl; John E. W. Mayhew; Jennifer S. Lund; Niall McLoughlin; Klaus Obermayer (NIPS, 1999)

A statistical neural field approach to orientation selectivity. - Péter Adorján; György Barna; Péter Érdi; Klaus Obermayer (Neurocomputing, 1999)

Effects of lateral competition in the primary visual cortex on the development of topographic projections and ocular dominance maps. - Christian Piepenbrock; Klaus Obermayer (Neurocomputing, 1999)

A Stochastic Self-Organizing Map for Proximity Data. - Thore Graepel; Klaus Obermayer (Neural Comput., 1999)

A New Approach to Define Landmarks for Point-Based Warping in Brain Imaging. - Rainer Pielot; Michael Scholz 003; Klaus Obermayer; Eckart D. Gundelfinger; Andreas Hess 001 (Bildverarbeitung für die Medizin, 2000)

Blind Signal Separation from Optical Imaging Data. - Ingo Schießl; Martin Stetter; John E. W. Mayhew; Niall McLoughlin; Jennifer S. Lund; Klaus Obermayer (DAGM-Symposium, 2000)

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

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

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

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

Point-based warping with optimized weighting factors of displacement vectors. - Rainer Pielot; Michael Scholz 003; Klaus Obermayer; Eckart D. Gundelfinger; Andreas Hess 001 (Image Processing, 2000)

Warping with Optimized Weighting Factors of Displacement Vectors - A New Method to Reduce Inter-Individual Variations in Brain Imaging. - Rainer Pielot; Eckart D. Gundelfinger; Andreas Hess 001; Michael Scholz 003; Klaus Obermayer (SSIAI, 2000)

The effect of intracortical competition on the formation of topographic maps in models of Hebbian learning. - Christian Piepenbrock; Klaus Obermayer (Biol. Cybern., 2000)

A mean-field model for orientation tuning, contrast saturation, and contextual effects in the primary visual cortex. - Martin Stetter; Hauke Bartsch; Klaus Obermayer (Biol. Cybern., 2000)

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

An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets. - T. Müller; Martin Stetter; Mark Hübener; Frank Sengpiel; Tobias Bonhoeffer; I. Gödecke; Barbara Chapman 001; Siegrid Löwel; Klaus Obermayer (Neural Comput., 2000)

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

Blind Source Separation of Single Components from Linear Mixtures. - Roland Vollgraf; Ingo Schießl; Klaus Obermayer (ICANN, 2001)

3D edge detection to define landmarks for point-based warping in brain imaging. - Rainer Pielot; Michael Scholz 003; Klaus Obermayer; Eckart D. Gundelfinger; Andreas Hess 001 (ICIP (2), 2001)

Spectrum of Pitch Differences Models the Perception of Octave Ambiguous Tones. - Immanuel Normann; Hendrik Purwins; Klaus Obermayer (ICMC, 2001)

Constant Q Profiles for Tracking Modulations in Audio Data Format. - Hendrik Purwins; Benjamin Blankertz; Klaus Obermayer (ICMC, 2001)

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

On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex. - Hauke Bartsch; Martin Stetter; Klaus Obermayer (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

Emergence of Modularity within One Sheet of Neurons: A Model Comparison. - Cornelius Weber; Klaus Obermayer (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

Multi Dimensional ICA to Separate Correlated Sources. - Roland Vollgraf; Klaus Obermayer (NIPS, 2001)

Activity Driven Adaptive Stochastic Resonance. - Gregor Wenning; Klaus Obermayer (NIPS, 2001)

Contextual effects by short range connections in a mean-field model of V1. - Hauke Bartsch; Martin Stetter; Klaus Obermayer (Neurocomputing, 2001)

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

Comparison of Different 3D Edge Detection Methods to Define Landmarks for Point-Based Warping in Autoradiographic Brain Imaging. - Rainer Pielot; Michael Scholz 003; Klaus Obermayer; Eckart D. Gundelfinger; Andreas Hess 001 (Bildverarbeitung für die Medizin, 2002)

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

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

Performance of 3D Landmark Detection Methods for Point-Based Warping in Autoradiographic Brain Imaging. - Rainer Pielot; Michael Scholz 003; Klaus Obermayer; Eckart D. Gundelfinger; Andreas Hess 001 (SSIAI, 2002)

A structure preserving image transformation as the goal of visual sensory coding. - Hauke Bartsch; Klaus Obermayer (Neurocomputing, 2002)

Adjusting stochastic resonance in a leaky integrate and fire neuron to sub-threshold stimulus distributions. - Gregor Wenning; Klaus Obermayer (Neurocomputing, 2002)

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

Automatic segmentation and skeletonization of neurons from confocal microscopy images based on the 3-D wavelet transform. - Anca Dima; Michael Scholz 003; Klaus Obermayer (IEEE Trans. Image Process., 2002)

Segmentation of 2 1/2 D brain image stacks with automatic extraction and visualization of functional information. - Johannes Mohr; Andreas Hess 001; Michael Scholz 003; Klaus Obermayer (ICIP (2), 2003)

Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression. - Roland Vollgraf; Michael Scholz 003; Ian A. Meinertzhagen; Klaus Obermayer (NIPS, 2003)

Second-order statistics of natural images. - Hauke Bartsch; Klaus Obermayer (Neurocomputing, 2003)

Adaptation using local information for maximizing the global cost. - Thomas Hoch; Gregor Wenning; Klaus Obermayer (Neurocomputing, 2003)

Automatic three-dimensional graph construction of nerve cells from confocal microscopy scans. - Anca Dima; Michael Scholz 003; Klaus Obermayer (J. Electronic Imaging, 2003)

Soft Learning Vector Quantization. - Sambu Seo; Klaus Obermayer (Neural Comput., 2003)

A new point-based warping method for enhanced and simplified analysis of functional brain image data. - Rainer Pielot; Michael Scholz 003; Klaus Obermayer; Henning Scheich; Eckart D. Gundelfinger; Andreas Hess 001 (NeuroImage, 2003)

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

Soft nearest prototype classification. - Sambu Seo; Mathias Bode; Klaus Obermayer (IEEE Trans. Neural Networks, 2003)

Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions. - Akhil Ranjan Garg; Basabi Bhaumik; Klaus Obermayer (ICONIP, 2004)

The Balance Between Excitation and Inhibition Not Only Leads to Variable Discharge of Cortical Neurons but Also to Contrast Invariant Orientation Tuning. - Akhil Ranjan Garg; Basabi Bhaumik; Klaus Obermayer (ICONIP, 2004)

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

Approximating the response-stimulus correlation for the integrate-and-fire neuron. - Jacob Kanev; Gregor Wenning; Klaus Obermayer (Neurocomputing, 2004)

New methods for the computer-assisted 3-D reconstruction of neurons from confocal image stacks. - Stephan Schmitt; Jan Felix Evers; Carsten Duch; Michael Scholz 003; Klaus Obermayer (NeuroImage, 2004)

Self-organizing maps and clustering methods for matrix data. - Sambu Seo; Klaus Obermayer (Neural Networks, 2004)

Correlation and stationarity of speech radiation: consequences for linear multichannel filtering. - Ingo Schwetz; Gerhard Gruhler; Klaus Obermayer (IEEE Trans. Speech Audio Process., 2004)

Geometric Reconstruction of the Vascular System of the Rat Brain Imaged by MRA. - Manuel André Gaudnek; Andreas Hess 001; Klaus Obermayer; Lubos Budinsky; Kay Brune; Michael Sibila (Bildverarbeitung für die Medizin, 2005)

Geometric reconstruction of the rat vascular system imaged by MRA. - Manuel André Gaudnek; Andreas Hess 001; Klaus Obermayer; Lubos Budinsky; Kay Brune; Michael Sibila (ICIP (2), 2005)

Finding Subsequences of Melodies in Musical Pieces. - Kamil Adiloglu; Klaus Obermayer (ICMC, 2005)

Optimal gradient-based learning using importance weights. - Sepp Hochreiter; Klaus Obermayer (IJCNN, 2005)

Optimal kernels for unsupervised learning. - Sepp Hochreiter; Klaus Obermayer (IJCNN, 2005)

Development of feedforward receptive field structure of a simple cell and its contribution to the orientation selectivity: a modeling study. - Akhil Ranjan Garg; Klaus Obermayer; Basabi Bhaumik (Int. J. Neural Syst., 2005)

The effect of correlations in the background activity on the information transmission properties of neural populations. - Thomas Hoch; Gregor Wenning; Klaus Obermayer (Neurocomputing, 2005)

Nonlinear Feature Selection with the Potential Support Vector Machine. - Sepp Hochreiter; Klaus Obermayer (Feature Extraction, 2006)

Melodic Topologies. - Kamil Adiloglu; Klaus Obermayer (ICMC, 2006)

P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data. - Johannes Mohr; Imke Puls; Jana Wrase; Sepp Hochreiter; Andreas Heinz; Klaus Obermayer (IJCNN, 2006)

Dynamic Hyperparameter Scaling Method for LVQ Algorithms. - Sambu Seo; Klaus Obermayer (IJCNN, 2006)

Sparse Optimization for Second Order Kernel Methods. - Roland Vollgraf; Klaus Obermayer (IJCNN, 2006)

A new summarization method for affymetrix probe level data. - Sepp Hochreiter; Djork-Arné Clevert; Klaus Obermayer (Bioinform., 2006)

Support Vector Machines for Dyadic Data. - Sepp Hochreiter; Klaus Obermayer (Neural Comput., 2006)

Improved optimal linear filters for the discrimination of multichannel waveform templates for spike-sorting applications. - Roland Vollgraf; Klaus Obermayer (IEEE Signal Process. Lett., 2006)

Quadratic optimization for simultaneous matrix diagonalization. - Roland Vollgraf; Klaus Obermayer (IEEE Trans. Signal Process., 2006)

Optimality of LSTD and its Relation to MC. - Steffen Grünewälder; Sepp Hochreiter; Klaus Obermayer (IJCNN, 2007)

Distance Measures in Query Space: How Strongly to Use Feedback From Past Queries. - Nicolas Neubauer 001; Christian Scheel; Sahin Albayrak; Klaus Obermayer (Web Intelligence, 2007)

Fast model-based protein homology detection without alignment. - Sepp Hochreiter; Martin Heusel; Klaus Obermayer (Bioinform., 2007)

The effect of background noise on the precision of pulse packet propagation in feed-forward networks. - Marcel Stimberg; Thomas Hoch; Klaus Obermayer (Neurocomputing, 2007)

Personalized Recommendations for the Web 3D. - Bartek Ochab; Nicolas Neubauer 001; Klaus Obermayer (AH, 2008)

Measuring the Reliability of Geometries in Magnet Resonance Angiography A Reference for Multimodal Image Registration?. - Manuel André Gaudnek; Andreas Hess 001; Klaus Obermayer; Michael Sibila (Bildverarbeitung für die Medizin, 2008)

Adaptive Threshold Masking. - Manuel André Gaudnek; Andreas Hess 001; Klaus Obermayer; Michael Sibila (Bildverarbeitung für die Medizin, 2008)

3D Reconstruction of Neurons from Confocal Image Stacks and Visualization of Computational Modeling Experiments. - Susanne Schönknecht; Carsten Duch; Klaus Obermayer; Michael Sibila (Bildverarbeitung für die Medizin, 2008)

Adaptive bottle. - Kamil Adiloglu; Robert Anniés; Klaus Obermayer; Yon Visell; Carlo Drioli (ICMC, 2008)

Automated Microarray Classification Based on P-SVM Gene Selection. - Johannes Mohr; Sambu Seo; Klaus Obermayer (ICMLA, 2008)

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

On the sample mean of graphs. - Brijnesh J. Jain; Klaus Obermayer (IJCNN, 2008)

Geometrical Approaches to Active Learning. - Kamil Adiloglu; Robert Anniés; Falk-Florian Henrich; André Paus; Klaus Obermayer (SJTU-TUB Joint Workshop, 2008)

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

Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1. - Klaus Wimmer 002; Marcel Stimberg; Robert Martin; Lars Schwabe; Jorge Mariño; James Schummers; David C. Lyon; Mriganka Sur; Klaus Obermayer (NIPS, 2008)

Molecule Kernels: A Descriptor- and Alignment-Free Quantitative Structure-Activity Relationship Approach. - Johannes Mohr; Brijnesh J. Jain; Klaus Obermayer (J. Chem. Inf. Model., 2008)

Active Learning by Spherical Subdivision. - Falk-Florian Henrich; Klaus Obermayer (J. Mach. Learn. Res., 2008)

An SMO Algorithm for the Potential Support Vector Machine. - Tilman Knebel; Sepp Hochreiter; Klaus Obermayer (Neural Comput., 2008)

Adaptation and Selective Information Transmission in the Cricket Auditory Neuron AN2. - Klaus Wimmer 002; K. Jannis Hildebrandt; R. Matthias Hennig; Klaus Obermayer (PLoS Comput. Biol., 2008)

Tag spam creates large non-giant connected components. - Nicolas Neubauer 001; Robert Wetzker; Klaus Obermayer (AIRWeb, 2009)

Algorithms for the Sample Mean of Graphs. - Brijnesh J. Jain; Klaus Obermayer (CAIP, 2009)

Hyperincident connected components of tagging networks. - Nicolas Neubauer 001; Klaus Obermayer (Hypertext, 2009)

A New Incremental Pairwise Clustering Algorithm. - Sambu Seo; Johannes Mohr; Klaus Obermayer (ICMLA, 2009)

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

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

Multiple alignment of contact maps. - Brijnesh J. Jain; Brijnesh Stehr; Michael Lappe; Klaus Obermayer (IJCNN, 2009)

Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies. - Arno Onken; Steffen Grünewälder; Klaus Obermayer (NIPS, 2009)

A Two-Level Learning Hierarchy of Concept Based Keyword Extraction for Tag Recommendations. - Hendri Murfi; Klaus Obermayer (DC@PKDD/ECML, 2009)

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

Elkan's k-Means for Graphs - Brijnesh J. Jain; Klaus Obermayer (CoRR, 2009)

Structure Spaces. - Brijnesh J. Jain; Klaus Obermayer (J. Mach. Learn. Res., 2009)

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

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

Consistent Estimator of Median and Mean Graph. - Brijnesh J. Jain; Klaus Obermayer (ICPR, 2010)

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

Akzeptanzfähigkeit von Tagging-Systemen in benutzergenerierten virtuellen Welten. - Danny Pannicke; Michael Hahne; Nicolas Neubauer 001; Bartek Ochab; Renate Lieb; Martin Meister 002; Klaus Obermayer; Werner Rammert; Rüdiger Zarnekow (MKWI, 2010)

Large Sample Statistics in the Domain of Graphs. - Brijnesh J. Jain; Klaus Obermayer (SSPR/SPR, 2010)

Learning Graph Quantization. - Brijnesh J. Jain; S. Deepak Srinivasan; Alexander Tissen; Klaus Obermayer (SSPR/SPR, 2010)

Accelerating Competitive Learning Graph Quantization - Brijnesh J. Jain; Klaus Obermayer (CoRR, 2010)

A Maximum Common Subgraph Kernel Method for Predicting the Chromosome Aberration Test. - Johannes Mohr; Brijnesh J. Jain; Andreas Sutter; Antonius ter Laak; Thomas Steger-Hartmann; Nikolaus Heinrich; Klaus Obermayer (J. Chem. Inf. Model., 2010)

An online spike detection and spike classification algorithm capable of instantaneous resolution of overlapping spikes. - Felix Franke; Michal Natora; Clemens Boucsein; Matthias H. J. Munk; Klaus Obermayer (J. Comput. Neurosci., 2010)

Maximum Likelihood for Gaussians on Graphs. - Brijnesh J. Jain; Klaus Obermayer (GbRPR, 2011)

Generalized Learning Graph Quantization. - Brijnesh J. Jain; Klaus Obermayer (GbRPR, 2011)

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

Extending Bron Kerbosch for Solving the Maximum Weight Clique Problem - Brijnesh J. Jain; Klaus Obermayer (CoRR, 2011)

Probabilistic prototype models for attributed graphs - S. Deepak Srinivasan; Klaus Obermayer (CoRR, 2011)

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

Graph quantization. - Brijnesh J. Jain; Klaus Obermayer (Comput. Vis. Image Underst., 2011)

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

The optimal unbiased value estimator and its relation to LSTD, TD and MC. - Steffen Grünewälder; Klaus Obermayer (Mach. Learn., 2011)

Tripartite community structure in social bookmarking data. - Nicolas Neubauer 001; Klaus Obermayer (New Rev. Hypermedia Multim., 2011)

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

Learning in Riemannian Orbifolds - Brijnesh J. Jain; Klaus Obermayer (CoRR, 2012)

Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis. - Wendelin Böhmer; Steffen Grünewälder; Hannes Nickisch; Klaus Obermayer (Mach. Learn., 2012)

Impact of Adaptation Currents on Synchronization of Coupled Exponential Integrate-and-Fire Neurons. - Josef Ladenbauer; Moritz Augustin; LieJune Shiau; Klaus Obermayer (PLoS Comput. Biol., 2012)

A Maximum Entropy Test for Evaluating Higher-Order Correlations in Spike Counts. - Arno Onken; Valentin Dragoi; Klaus Obermayer (PLoS Comput. Biol., 2012)

A Graphical Representation and Dissimilarity Measure for Basic Everyday Sound Events. - Kamil Adiloglu; Robert Anniés; Elio Wahlen; Hendrik Purwins; Klaus Obermayer (IEEE Trans. Speech Audio Process., 2012)

A spatial selective visual attention pattern recognition method based on joint short SSVEP. - Songyun Xie; Fangshi Zhu; Klaus Obermayer; Petra Ritter; Linan Wang (IJCNN, 2013)

How adaptation shapes spike rate oscillations in recurrent neuronal networks. - Moritz Augustin; Josef Ladenbauer; Klaus Obermayer (Frontiers Comput. Neurosci., 2013)

Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis. - Robert Pröpper; Klaus Obermayer (Frontiers Neuroinformatics, 2013)

Construction of approximation spaces for reinforcement learning. - Wendelin Böhmer; Steffen Grünewälder; Yun Shen; Marek Musial; Klaus Obermayer (J. Mach. Learn. Res., 2013)

Risk-Sensitive Markov Control Processes. - Yun Shen; Wilhelm Stannat; Klaus Obermayer (SIAM J. Control. Optim., 2013)

A unified framework for risk-sensitive Markov control processes. - Yun Shen; Wilhelm Stannat; Klaus Obermayer (CDC, 2014)

Risk-averse reinforcement learning for algorithmic trading. - Yun Shen; Ruihong Huang; Chang Yan; Klaus Obermayer (CIFEr, 2014)

A classifier-based association test for imbalanced data derived from prediction theory. - Johannes Mohr; Sambu Seo; Klaus Obermayer (IJCNN, 2014)

Factored Representations for Regression. - Wendelin Böhmer; Klaus Obermayer (CoRR, 2014)

Risk-Sensitive Reinforcement Learning. - Yun Shen; Michael J. Tobia; Tobias Sommer; Klaus Obermayer (Neural Comput., 2014)

Neural systems for choice and valuation with counterfactual learning signals. - Michael J. Tobia; R. Guo; U. Schwarze; Wendelin Böhmer; Jan Gläscher; B. Finckh; A. Marschner; Christian Büchel; Klaus Obermayer; Tobias Sommer (NeuroImage, 2014)

A computer vision system for rapid search inspired by surface-based attention mechanisms from human perception. - Johannes Mohr; Jong-Han Park; Klaus Obermayer (Neural Networks, 2014)

Learning Rules: Overview. - Klaus Obermayer (Encyclopedia of Computational Neuroscience, 2014)

Incremental pairwise clustering for large proximity matrices. - Sambu Seo; Johannes Mohr; Ningfei Li; Andreas Horn; Klaus Obermayer (IJCNN, 2015)

Regression with Linear Factored Functions. - Wendelin Böhmer; Klaus Obermayer (ECML/PKDD (1), 2015)

Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering. - Felix Franke; Rodrigo Quian Quiroga; Andreas Hierlemann; Klaus Obermayer (J. Comput. Neurosci., 2015)

Erratum to: Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering. - Felix Franke; Rodrigo Quian Quiroga; Andreas Hierlemann; Klaus Obermayer (J. Comput. Neurosci., 2015)

A Hippocampal Signature of Perceptual Learning in Object Recognition. - Matthias Guggenmos; Marcus Rothkirch; Klaus Obermayer; John-Dylan Haynes; Philipp Sterzer (J. Cogn. Neurosci., 2015)

Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations. - Wendelin Böhmer; Jost Tobias Springenberg; Joschka Boedecker; Martin A. Riedmiller; Klaus Obermayer (Künstliche Intell., 2015)

Stimulator Selection in SSVEP-Based Spatial Selective Attention Study. - Songyun Xie; Chang Liu; Klaus Obermayer; Fangshi Zhu; Linan Wang; Xinzhou Xie; Wei Wang 056 (Comput. Intell. Neurosci., 2016)

Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning. - Wendelin Böhmer; Rong Guo; Klaus Obermayer (CoRR, 2016)

pypet: A Python Toolkit for Data Management of Parameter Explorations. - Robert Meyer; Klaus Obermayer (Frontiers Neuroinformatics, 2016)

Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode. - Jacob Kanev; Achilleas Koutsou; Chris Christodoulou; Klaus Obermayer (Neural Comput., 2016)

Extending Integrate-and-Fire Model Neurons to Account for the Effects of Weak Electric Fields and Input Filtering Mediated by the Dendrite. - Florian Aspart; Josef Ladenbauer; Klaus Obermayer (PLoS Comput. Biol., 2016)

Models of Acetylcholine and Dopamine Signals Differentially Improve Neural Representations. - Raphaël Holca-Lamarre; Jörg Lücke; Klaus Obermayer (Frontiers Comput. Neurosci., 2017)

The Influence of Mexican Hat Recurrent Connectivity on Noise Correlations and Stimulus Encoding. - Robert Meyer; Josef Ladenbauer; Klaus Obermayer (Frontiers Comput. Neurosci., 2017)

Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation. - Moritz Augustin; Josef Ladenbauer; Fabian Baumann; Klaus Obermayer (PLoS Comput. Biol., 2017)

Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations. - Christian Donner; Klaus Obermayer; Hideaki Shimazaki (PLoS Comput. Biol., 2017)

Spatial separation of two different pathways accounting for the generation of calcium signals in astrocytes. - Franziska Oschmann; Konstantin Mergenthaler; Evelyn Jungnickel; Klaus Obermayer (PLoS Comput. Biol., 2017)

Robust Detection of Environmental Sounds in Binaural Auditory Scenes. - Ivo Trowitzsch; Johannes Mohr; Youssef Kashef; Klaus Obermayer (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Design of a video feedback SSVEP-BCI system for car control based on improved MUSIC method. - Chang Liu; Songyun Xie; Xinzhou Xie; Xu Duan; Wei Wang 056; Klaus Obermayer (BCI, 2018)

Differential polarization of cortical pyramidal neuron dendrites through weak extracellular fields. - Florian Aspart; Michiel W. H. Remme; Klaus Obermayer (PLoS Comput. Biol., 2018)

The NIGENS General Sound Events Database. - Ivo Trowitzsch; Jalil Taghia; Youssef Kashef; Klaus Obermayer (CoRR, 2019)

Training Generative Networks with general Optimal Transport distances. - Vaios Laschos; Jan Tinapp; Klaus Obermayer (CoRR, 2019)

Weak electric fields promote resonance in neuronal spiking activity: Analytical results from two-compartment cell and network models. - Josef Ladenbauer; Klaus Obermayer (PLoS Comput. Biol., 2019)

Biophysically grounded mean-field models of neural populations under electrical stimulation. - Caglar Cakan; Klaus Obermayer (PLoS Comput. Biol., 2020)

Joining Sound Event Detection and Localization Through Spatial Segregation. - Ivo Trowitzsch; Christopher Schymura; Dorothea Kolossa; Klaus Obermayer (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Applications of nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators. - Teresa Chouzouris; Nicolas Roth; Caglar Cakan; Klaus Obermayer (CoRR, 2021)

Exploring the Similarity of Representations in Model-Agnostic Meta-Learning. - Thomas Goerttler; Klaus Obermayer (CoRR, 2021)

A modular framework for object-based saccadic decisions in dynamic scenes. - Nicolas Roth; Pia Bideau; Olaf Hellwich; Martin Rolfs; Klaus Obermayer (CoRR, 2021)

Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep. - Caglar Cakan; Cristiana Dimulescu; Liliia Khakimova; Daniela Obst; Agnes Flöel; Klaus Obermayer (Frontiers Comput. Neurosci., 2021)

Correction: Biophysically grounded mean-field models of neural populations under electrical stimulation. - Caglar Cakan; Klaus Obermayer (PLoS Comput. Biol., 2021)

Intrinsic Analysis of Learned Representations in Encoder-Decoder Architectures. - Shashi Durbha; Thomas Goerttler; Eduardo Vellasques; Jan Hendrik Stockemer; Klaus Obermayer (LWDA, 2022)

Similarity of Pre-trained and Fine-tuned Representations. - Thomas Goerttler; Klaus Obermayer (CoRR, 2022)

Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder. - Jonas Dippel; Matthias Lenga; Thomas Goerttler; Klaus Obermayer; Johannes Höhne (CoRR, 2022)

Cross-Frequency Slow Oscillation-Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model. - Nikola Jajcay; Caglar Cakan; Klaus Obermayer (Frontiers Comput. Neurosci., 2022)

Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks. - Lucas Rebscher; Klaus Obermayer; Christoph Metzner (Frontiers Comput. Neurosci., 2022)

Nonlinear optimal control of a mean-field model of neural population dynamics. - Lena Salfenmoser; Klaus Obermayer (Frontiers Comput. Neurosci., 2022)

Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs. - Denis Alevi; Marcel Stimberg; Henning Sprekeler; Klaus Obermayer; Moritz Augustin (Frontiers Neuroinformatics, 2022)

neurolib: A Simulation Framework for Whole-Brain Neural Mass Modeling. - Caglar Cakan; Nikola Jajcay; Klaus Obermayer (Cogn. Comput., 2023)

Objects guide human gaze behavior in dynamic real-world scenes. - Nicolas Roth; Martin Rolfs; Olaf Hellwich; Klaus Obermayer (PLoS Comput. Biol., 2023)

Empirically Identifying and Computationally Modeling the Brain-Behavior Relationship for Human Scene Categorization. - Agnessa Karapetian; Antoniya Boyanova; Muthukumar Pandaram; Klaus Obermayer; Tim C. Kietzmann; Radoslaw Martin Cichy (J. Cogn. Neurosci., 2023)

Towards the Necessity of Pre-trained Heads in Model-Agnostic Meta-Learning. - Thomas Goerttler; Philipp Pirlet; Klaus Obermayer (FICC (1), 2024)

A Robotics-Inspired Scanpath Model Reveals the Importance of Uncertainty and Semantic Object Cues for Gaze Guidance in Dynamic Scenes. - Vito Mengers; Nicolas Roth; Oliver Brock; Klaus Obermayer; Martin Rolfs (CoRR, 2024)

A framework for optimal control of oscillations and synchrony applied to non-linear models of neural population dynamics. - Lena Salfenmoser; Klaus Obermayer (Frontiers Comput. Neurosci., 2024)

Improving the detection of sleep slow oscillations in electroencephalographic data. - Cristiana Dimulescu; Leonhard Donle; Caglar Cakan; Thomas Goerttler; Liliia Khakimova; Julia Ladenbauer; Agnes Flöel; Klaus Obermayer (Frontiers Neuroinformatics, 2024)

Neural Proxies for Sound Synthesizers: Learning Perceptually Informed Preset Representations. - Paolo Combes; Stefan Weinzierl; Klaus Obermayer (CoRR, 2025)