Klaus Obermayer

Orcid: 0000-0002-0471-8170

Affiliations:
  • Technical University of Berlin, Department of Mathematics, Germany


According to our database1, Klaus Obermayer authored at least 208 papers between 1990 and 2024.

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Bibliography

2024
Improving the detection of sleep slow oscillations in electroencephalographic data.
Frontiers Neuroinformatics, 2024

A Robotics-Inspired Scanpath Model Reveals the Importance of Uncertainty and Semantic Object Cues for Gaze Guidance in Dynamic Scenes.
CoRR, 2024

2023
Empirically Identifying and Computationally Modeling the Brain-Behavior Relationship for Human Scene Categorization.
J. Cogn. Neurosci., November, 2023

Objects guide human gaze behavior in dynamic real-world scenes.
PLoS Comput. Biol., October, 2023

neurolib: A Simulation Framework for Whole-Brain Neural Mass Modeling.
Cogn. Comput., 2023

2022
Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs.
Frontiers Neuroinformatics, 2022

Nonlinear optimal control of a mean-field model of neural population dynamics.
Frontiers Comput. Neurosci., 2022

Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks.
Frontiers Comput. Neurosci., 2022

Cross-Frequency Slow Oscillation-Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model.
Frontiers Comput. Neurosci., 2022

Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder.
CoRR, 2022

Similarity of Pre-trained and Fine-tuned Representations.
CoRR, 2022

Intrinsic Analysis of Learned Representations in Encoder-Decoder Architectures.
Proceedings of the LWDA 2022 Workshops: FGWM, 2022

2021
Correction: Biophysically grounded mean-field models of neural populations under electrical stimulation.
PLoS Comput. Biol., 2021

Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep.
Frontiers Comput. Neurosci., 2021

A modular framework for object-based saccadic decisions in dynamic scenes.
CoRR, 2021

Exploring the Similarity of Representations in Model-Agnostic Meta-Learning.
CoRR, 2021

Applications of nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators.
CoRR, 2021

2020
Joining Sound Event Detection and Localization Through Spatial Segregation.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Biophysically grounded mean-field models of neural populations under electrical stimulation.
PLoS Comput. Biol., 2020

2019
Weak electric fields promote resonance in neuronal spiking activity: Analytical results from two-compartment cell and network models.
PLoS Comput. Biol., 2019

Training Generative Networks with general Optimal Transport distances.
CoRR, 2019

The NIGENS General Sound Events Database.
CoRR, 2019

2018
Differential polarization of cortical pyramidal neuron dendrites through weak extracellular fields.
PLoS Comput. Biol., 2018

Design of a video feedback SSVEP-BCI system for car control based on improved MUSIC method.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

2017
Robust Detection of Environmental Sounds in Binaural Auditory Scenes.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Spatial separation of two different pathways accounting for the generation of calcium signals in astrocytes.
PLoS Comput. Biol., 2017

Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations.
PLoS Comput. Biol., 2017

Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation.
PLoS Comput. Biol., 2017

The Influence of Mexican Hat Recurrent Connectivity on Noise Correlations and Stimulus Encoding.
Frontiers Comput. Neurosci., 2017

Models of Acetylcholine and Dopamine Signals Differentially Improve Neural Representations.
Frontiers Comput. Neurosci., 2017

2016
Extending Integrate-and-Fire Model Neurons to Account for the Effects of Weak Electric Fields and Input Filtering Mediated by the Dendrite.
PLoS Comput. Biol., 2016

Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode.
Neural Comput., 2016

pypet: A Python Toolkit for Data Management of Parameter Explorations.
Frontiers Neuroinformatics, 2016

Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning.
CoRR, 2016

Stimulator Selection in SSVEP-Based Spatial Selective Attention Study.
Comput. Intell. Neurosci., 2016

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.
Künstliche Intell., 2015

A Hippocampal Signature of Perceptual Learning in Object Recognition.
J. Cogn. Neurosci., 2015

Erratum to: Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering.
J. Comput. Neurosci., 2015

Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering.
J. Comput. Neurosci., 2015

Regression with Linear Factored Functions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Incremental pairwise clustering for large proximity matrices.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Learning Rules: Overview.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

A computer vision system for rapid search inspired by surface-based attention mechanisms from human perception.
Neural Networks, 2014

Neural systems for choice and valuation with counterfactual learning signals.
NeuroImage, 2014

Risk-Sensitive Reinforcement Learning.
Neural Comput., 2014

Factored Representations for Regression.
CoRR, 2014

A classifier-based association test for imbalanced data derived from prediction theory.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Risk-averse reinforcement learning for algorithmic trading.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

A unified framework for risk-sensitive Markov control processes.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Risk-Sensitive Markov Control Processes.
SIAM J. Control. Optim., 2013

Construction of approximation spaces for reinforcement learning.
J. Mach. Learn. Res., 2013

Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis.
Frontiers Neuroinformatics, 2013

How adaptation shapes spike rate oscillations in recurrent neuronal networks.
Frontiers Comput. Neurosci., 2013

A spatial selective visual attention pattern recognition method based on joint short SSVEP.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
A Graphical Representation and Dissimilarity Measure for Basic Everyday Sound Events.
IEEE Trans. Speech Audio Process., 2012

A Maximum Entropy Test for Evaluating Higher-Order Correlations in Spike Counts.
PLoS Comput. Biol., 2012

Impact of Adaptation Currents on Synchronization of Coupled Exponential Integrate-and-Fire Neurons.
PLoS Comput. Biol., 2012

Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis.
Mach. Learn., 2012

Learning in Riemannian Orbifolds
CoRR, 2012

A voxel selection method for the multivariate analysis of imaging genetics data.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Tripartite community structure in social bookmarking data.
New Rev. Hypermedia Multim., 2011

The optimal unbiased value estimator and its relation to LSTD, TD and MC.
Mach. Learn., 2011

An Unsupervised and Drift-Adaptive Spike Detection Algorithm Based on Hybrid Blind Beamforming.
EURASIP J. Adv. Signal Process., 2011

Graph quantization.
Comput. Vis. Image Underst., 2011

A Unified Framework for Risk-sensitive Markov Decision Processes with Finite State and Action Spaces
CoRR, 2011

Probabilistic prototype models for attributed graphs
CoRR, 2011

Extending Bron Kerbosch for Solving the Maximum Weight Clique Problem
CoRR, 2011

Regularized Sparse Kernel Slow Feature Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Generalized Learning Graph Quantization.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

Maximum Likelihood for Gaussians on Graphs.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

2010
An online spike detection and spike classification algorithm capable of instantaneous resolution of overlapping spikes.
J. Comput. Neurosci., 2010

A Maximum Common Subgraph Kernel Method for Predicting the Chromosome Aberration Test.
J. Chem. Inf. Model., 2010

Accelerating Competitive Learning Graph Quantization
CoRR, 2010

Learning Graph Quantization.
Proceedings of the Structural, 2010

Large Sample Statistics in the Domain of Graphs.
Proceedings of the Structural, 2010

Akzeptanzfähigkeit von Tagging-Systemen in benutzergenerierten virtuellen Welten.
Proceedings of the Multikonferenz Wirtschaftsinformatik, 2010

Elkan's k-Means Algorithm for Graphs.
Proceedings of the Advances in Soft Computing, 2010

Consistent Estimator of Median and Mean Graph.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Hyperincident connected components of tagging networks.
SIGWEB Newsl., 2009

Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation.
PLoS Comput. Biol., 2009

A model comparison of COMT effects on central processing of affective stimuli.
NeuroImage, 2009

Structure Spaces.
J. Mach. Learn. Res., 2009

Elkan's k-Means for Graphs
CoRR, 2009

A Necessary and Sufficient Condition for Graph Matching Being Equivalent to the Maximum Weight Clique Problem
CoRR, 2009

A Two-Level Learning Hierarchy of Concept Based Keyword Extraction for Tag Recommendations.
Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Multiple alignment of contact maps.
Proceedings of the International Joint Conference on Neural Networks, 2009

Bimal: Bipartite matching alignment for the contact map overlap problem.
Proceedings of the International Joint Conference on Neural Networks, 2009

Blind Source Separation of Sparse Overcomplete Mixtures and Application to Neural Recordings.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

A New Incremental Pairwise Clustering Algorithm.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Algorithms for the Sample Mean of Graphs.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

Tag spam creates large non-giant connected components.
Proceedings of the AIRWeb 2009, 2009

2008
Adaptation and Selective Information Transmission in the Cricket Auditory Neuron AN2.
PLoS Comput. Biol., 2008

An SMO Algorithm for the Potential Support Vector Machine.
Neural Comput., 2008

Active Learning by Spherical Subdivision.
J. Mach. Learn. Res., 2008

Molecule Kernels: A Descriptor- and Alignment-Free Quantitative Structure-Activity Relationship Approach.
J. Chem. Inf. Model., 2008

Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Geometrical Approaches to Active Learning.
Proceedings of the Autonomous Systems, 2008

On the sample mean of graphs.
Proceedings of the International Joint Conference on Neural Networks, 2008

Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Automated Microarray Classification Based on P-SVM Gene Selection.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Adaptive bottle.
Proceedings of the 2008 International Computer Music Conference, 2008

3D Reconstruction of Neurons from Confocal Image Stacks and Visualization of Computational Modeling Experiments.
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008

Adaptive Threshold Masking.
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008

Measuring the Reliability of Geometries in Magnet Resonance Angiography A Reference for Multimodal Image Registration?.
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008

Personalized Recommendations for the Web 3D.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2008

2007
The effect of background noise on the precision of pulse packet propagation in feed-forward networks.
Neurocomputing, 2007

Fast model-based protein homology detection without alignment.
Bioinform., 2007

Distance Measures in Query Space: How Strongly to Use Feedback From Past Queries.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Optimality of LSTD and its Relation to MC.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Quadratic optimization for simultaneous matrix diagonalization.
IEEE Trans. Signal Process., 2006

Improved optimal linear filters for the discrimination of multichannel waveform templates for spike-sorting applications.
IEEE Signal Process. Lett., 2006

Support Vector Machines for Dyadic Data.
Neural Comput., 2006

A new summarization method for affymetrix probe level data.
Bioinform., 2006

Sparse Optimization for Second Order Kernel Methods.
Proceedings of the International Joint Conference on Neural Networks, 2006

Dynamic Hyperparameter Scaling Method for LVQ Algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2006

P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data.
Proceedings of the International Joint Conference on Neural Networks, 2006

Melodic Topologies.
Proceedings of the 2006 International Computer Music Conference, 2006

Nonlinear Feature Selection with the Potential Support Vector Machine.
Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005
The effect of correlations in the background activity on the information transmission properties of neural populations.
Neurocomputing, 2005

Development of feedforward receptive field structure of a simple cell and its contribution to the orientation selectivity: a modeling study.
Int. J. Neural Syst., 2005

Finding Subsequences of Melodies in Musical Pieces.
Proceedings of the 2005 International Computer Music Conference, 2005

Geometric reconstruction of the rat vascular system imaged by MRA.
Proceedings of the 2005 International Conference on Image Processing, 2005

Geometric Reconstruction of the Vascular System of the Rat Brain Imaged by MRA.
Proceedings of the Bildverarbeitung für die Medizin 2005, Algorithmen - Systeme, 2005

2004
Correlation and stationarity of speech radiation: consequences for linear multichannel filtering.
IEEE Trans. Speech Audio Process., 2004

Self-organizing maps and clustering methods for matrix data.
Neural Networks, 2004

New methods for the computer-assisted 3-D reconstruction of neurons from confocal image stacks.
NeuroImage, 2004

Approximating the response-stimulus correlation for the integrate-and-fire neuron.
Neurocomputing, 2004

A Topographic Support Vector Machine: Classification Using Local Label Configurations.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

The Balance Between Excitation and Inhibition Not Only Leads to Variable Discharge of Cortical Neurons but Also to Contrast Invariant Orientation Tuning.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003
Soft nearest prototype classification.
IEEE Trans. Neural Networks, 2003

Modeling the adaptive visual system: a survey of principled approaches.
Neural Networks, 2003

A new point-based warping method for enhanced and simplified analysis of functional brain image data.
NeuroImage, 2003

Soft Learning Vector Quantization.
Neural Comput., 2003

Automatic three-dimensional graph construction of nerve cells from confocal microscopy scans.
J. Electronic Imaging, 2003

Adaptation using local information for maximizing the global cost.
Neurocomputing, 2003

Second-order statistics of natural images.
Neurocomputing, 2003

Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Segmentation of 2 1/2 D brain image stacks with automatic extraction and visualization of functional information.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Automatic segmentation and skeletonization of neurons from confocal microscopy images based on the 3-D wavelet transform.
IEEE Trans. Image Process., 2002

Introduction: new developments in self-organising maps.
Neural Networks, 2002

Adjusting stochastic resonance in a leaky integrate and fire neuron to sub-threshold stimulus distributions.
Neurocomputing, 2002

A structure preserving image transformation as the goal of visual sensory coding.
Neurocomputing, 2002

Performance of 3D Landmark Detection Methods for Point-Based Warping in Autoradiographic Brain Imaging.
Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002

Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Comparison of Different 3D Edge Detection Methods to Define Landmarks for Point-Based Warping in Autoradiographic Brain Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2002: Algorithmen, 2002

2001
Spike-frequency adaptation as a mechanism for dynamic coding in V1.
Neurocomputing, 2001

Contextual effects by short range connections in a mean-field model of V1.
Neurocomputing, 2001

Activity Driven Adaptive Stochastic Resonance.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Multi Dimensional ICA to Separate Correlated Sources.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Emergence of Modularity within One Sheet of Neurons: A Model Comparison.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

Efficient speech enhancement by diffusive gain factors (DGF).
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Constant Q Profiles for Tracking Modulations in Audio Data Format.
Proceedings of the 2001 International Computer Music Conference, 2001

Spectrum of Pitch Differences Models the Perception of Octave Ambiguous Tones.
Proceedings of the 2001 International Computer Music Conference, 2001

3D edge detection to define landmarks for point-based warping in brain imaging.
Proceedings of the 2001 International Conference on Image Processing, 2001

Blind Source Separation of Single Components from Linear Mixtures.
Proceedings of the Artificial Neural Networks, 2001

2000
Blind signal separation from optical imaging recordings with extended spatial decorrelation.
IEEE Trans. Biomed. Eng., 2000

An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets.
Neural Comput., 2000

The influence of threshold variability on the response of visual cortical neurons.
Neurocomputing, 2000

A mean-field model for orientation tuning, contrast saturation, and contextual effects in the primary visual cortex.
Biol. Cybern., 2000

The effect of intracortical competition on the formation of topographic maps in models of Hebbian learning.
Biol. Cybern., 2000

Warping with Optimized Weighting Factors of Displacement Vectors - A New Method to Reduce Inter-Individual Variations in Brain Imaging.
Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

Point-based warping with optimized weighting factors of displacement vectors.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

Structured Models from Structured Data: Emergence of Modular Information Processing within One Sheet of Neurons.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A Dynamic Cortical Amplifier Model for Fast Information Processing.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A New Method for Tracking Modulations in Tonal Music in Audio Data Format.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Gaussian Process Regression: Active Data Selection and Test Point Rejection.
Proceedings of the Mustererkennung 2000, 2000

Blind Signal Separation from Optical Imaging Data.
Proceedings of the Mustererkennung 2000, 2000

A New Approach to Define Landmarks for Point-Based Warping in Brain Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2000: Algorithmen, 2000

1999
A Stochastic Self-Organizing Map for Proximity Data.
Neural Comput., 1999

Effects of lateral competition in the primary visual cortex on the development of topographic projections and ocular dominance maps.
Neurocomputing, 1999

A statistical neural field approach to orientation selectivity.
Neurocomputing, 1999

Application of Blind Separation of Sources to Optical Recording of Brain Activity.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Bayesian Transduction.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Recurrent Cortical Competition: Strengthen or Weaken?
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Optimiertes Warping durch gewichtete Summen von Verschiebungsvektoren - eine neue Methode zur Reduktion von interindividuellen Variabilitäten von Hirndaten.
Proceedings of the Bildverarbeitung für die Medizin 1999: Algorithmen, 1999

1998
Self-organizing maps: Generalizations and new optimization techniques.
Neurocomputing, 1998

The Role of Lateral Cortical Competition in Ocular Dominance Development.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Classification on Pairwise Proximity Data.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Contrast Adaptation in Simple Cells by Changing the Transmitter Release Probability.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Dynamics of the Hippocampus: Multiple Strategies.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
The Joint Development of Orientation and Ocular Dominance: Role of Constraints.
Neural Comput., 1997

Singularities in Primate Orientation Maps.
Neural Comput., 1997

An Annealed Self-Organizing Map for Source Channel Coding.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17.
Proceedings of the Artificial Neural Networks, 1997

Phase Transitions in Soft Topographic Vector Quantization.
Proceedings of the Artificial Neural Networks, 1997

On the Anatomical Basis of Field Size, Contrast Sensitivity, and Orientation Selectivity in Macaque Striate Cortex: A Model Study.
Proceedings of the Artificial Neural Networks, 1997

A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields.
Proceedings of the Artificial Neural Networks, 1997

Solving large systems of differential equations in parallel using covers and skeletons.
Proceedings of the Algorithmic Languages and Calculi, 1997

1996
Linear Correlation-Based Learning Models Require a Two-Stage Process for the Development of Orientation and Ocular Dominance.
Neural Process. Lett., 1996

Cortical Map Development Driven by Spontaneous Retinal Activity Waves.
Proceedings of the Artificial Neural Networks, 1996

1995
Models of orientation and ocular dominance columns in the visual cortex: a critical comparison.
Neural Comput., 1995

1994
Putative strategies of scene segmentation in monkey visual cortex.
Neural Networks, 1994

A Critical Comparison of Models for Orientation and Ocular Dominance Columns in the Striate Cortex.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
Erratum.
Biol. Cybern., 1993

Development of Orientation and Ocular Dominance Columns in Infant Macaques.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Adaptive Neuronale Netze und ihre Anwendung als Modelle der Entwicklung kortikaler Karten.
PhD thesis, 1993

1992
Self-organizing maps: ordering, convergence properties and energy functions.
Biol. Cybern., 1992

Self-organizing maps: stationary states, metastability and convergence rate.
Biol. Cybern., 1992

1991
A Comparison between a Neural Network Model for the Formation of Brain Maps and Experimental Data.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990
Large-scale simulations of self-organizing neural networks on parallel computers: application to biological modelling.
Parallel Comput., 1990

Development and Spatial Structure of Cortical Feature Maps: A Model Study.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

A neural network model for the formation of topographic maps in the CNS: development of receptive fields.
Proceedings of the IJCNN 1990, 1990


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