Klaus Obermayer

Klaus Obermayer, Brijnesh J. Jain, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Comparison of Different 3D Edge Detection Methods to Define Landmarks for Point-Based Warping in Autoradiographic Brain Imaging

Michael Scholz, Klaus Obermayer, Andreas Hess, 2002, Bildverarbeitung für die Medizin.

Design of Visual Stimulation System with LED in the Study of Spatial Selective Attention

Klaus Obermayer, Songyun Xie, Fangshi Zhu, 2016 .

P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data

Klaus Obermayer, Andreas Heinz, Jana Wrase, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Closing the Loop of Sound Evaluation and Design ( CLOSED ) Deliverable 4 . 1 Everyday sound classification : Sound perception , interaction and synthesis Part I-State of the art

Davide Rocchesso, Klaus Obermayer, Patrick Susini, 2007 .

Support vector learning for ordinal regression

Klaus Obermayer, Thore Graepel, Ralf Herbrich, 1999 .

An automated online positioning system and simulation environment for multi-electrodes in extracellular recordings

Klaus Obermayer, Gaute T. Einevoll, Philipp Meier, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Combining optical imaging, electrophysiology and magnetic resonance imaging - An new integrated experimental strategy to unravel the BOLD signal formation

Klaus Obermayer, Andreas Hess, Michael Sibila, 2007 .

A neural network model for the formation of topographic maps in the CNS: development of receptive fields

Helge J. Ritter, Klaus Schulten, Klaus Obermayer, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Nonlinear Feature Selection with the Potential Support Vector Machine

Klaus Obermayer, Sepp Hochreiter, S. Hochreiter, 2006, Feature Extraction.

Spike detection in extracellular recordings by hybrid blind beamforming

Klaus Obermayer, Felix Franke, Michal Natora, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

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

Klaus Obermayer, Brijnesh J. Jain, K. Obermayer, 2009, ArXiv.

A new summarization method for affymetrix probe level data

Klaus Obermayer, Sepp Hochreiter, Djork-Arné Clevert, 2006, Bioinform..

Learning in Riemannian Orbifolds pdf

Klaus Obermayer, Brijnesh J. Jain, K. Obermayer, 2012, ArXiv.

The Role of Lateral Cortical Competition in Ocular Dominance Development

Klaus Obermayer, Christian Piepenbrock, 1998, NIPS.

Differential polarization of cortical pyramidal neuron dendrites through weak extracellular fields

Klaus Obermayer, Michiel W. H. Remme, Florian Aspart, 2017, bioRxiv.

Afferent specificity, feature specific connectivity influence orientation selectivity: A computational study in mouse primary visual cortex

Klaus Obermayer, Dipanjan Roy, Mriganka Sur, 2013, 1301.0996.

Second-Order Statistics of Natural Images

Klaus Obermayer, Hauke Bartsch, K. Obermayer, 2002, Neurocomputing.

Development of feedforward receptive field structure of a simple cell and its contribution to the orientation selectivity: a modeling study

Klaus Obermayer, Basabi Bhaumik, Akhil R. Garg, 2005, Int. J. Neural Syst..

Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation

Klaus Obermayer, Josef Ladenbauer, Moritz Augustin, 2016, PLoS Comput. Biol..

Extending Integrate-and-Fire Model Neurons to Account for the Effects of Weak Electric Fields and Input Filtering Mediated by the Dendrite

Klaus Obermayer, Josef Ladenbauer, Florian Aspart, 2016, PLoS Comput. Biol..

Further Challenges and the Road Ahead

Dorothea Kolossa, Klaus Obermayer, Jens Blauert, 2013 .

Bimal: Bipartite matching alignment for the contact map overlap problem

Klaus Obermayer, Brijnesh J. Jain, 2009, 2009 International Joint Conference on Neural Networks.

Tag spam creates large non-giant connected components

Klaus Obermayer, Robert Wetzker, Nicolas Neubauer, 2009, AIRWeb '09.

Classification Schemes for Step Sounds Based on Gammatone-Filters

Klaus Obermayer, Kamil Adiloglu, P. Purwins, 2007, NIPS 2007.

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

Michael Scholz, Klaus Obermayer, Jan Felix Evers, 2004, NeuroImage.

Structure Spaces

Klaus Obermayer, Brijnesh J. Jain, K. Obermayer, 2009, J. Mach. Learn. Res..

Development and Spatial Structure of Cortical Feature Maps: A Model Study

Helge J. Ritter, Klaus Schulten, Klaus Obermayer, 1990, NIPS.

Gene Selection for Microarray Data

Klaus Obermayer, Sepp Hochreiter, S. Hochreiter, 2004 .

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

Klaus Obermayer, Wilhelm Stannat, Yun Shen, 2011, ArXiv.

Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex

Klaus Obermayer, Hauke Bartsch, Martin Stetter, 1998, ICONIP.

Self-Organizing Maps

Klaus Obermayer, R. Martin, 2009 .

Consistent Estimator of Median and Mean Graph

Klaus Obermayer, Brijnesh J. Jain, K. Obermayer, 2010, 2010 20th International Conference on Pattern Recognition.

Solving large systems of differential equations in parallel using covers and skeletons

Klaus Obermayer, Peter Pepper, Mario Südholt, 1997, Algorithmic Languages and Calculi.

Correlation and stationarity of speech radiation: consequences for linear multichannel filtering

Klaus Obermayer, Gerhard Gruhler, Ingo Schwetz, 2004, IEEE Transactions on Speech and Audio Processing.

Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada]

Sebastian Thrun, Klaus Obermayer, Suzanna Becker, 2004, NIPS.

Modeling the adaptive visual system: a survey of principled approaches

Klaus Obermayer, Lars Schwabe, K. Obermayer, 2003, Neural Networks.

Risk-averse reinforcement learning for algorithmic trading

Klaus Obermayer, Chang Yan, Yun Shen, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Bayes optimal template matching for spike sorting – combining fisher discriminant analysis with optimal filtering

Klaus Obermayer, Rodrigo Quian Quiroga, Andreas Hierlemann, 2015, Journal of Computational Neuroscience.

An online spike detection and spike classification algorithm capable of instantaneous resolution of overlapping spikes

Klaus Obermayer, Matthias H. J. Munk, Clemens Boucsein, 2009, Journal of Computational Neuroscience.

Generalized Learning Graph Quantization

Klaus Obermayer, Brijnesh J. Jain, K. Obermayer, 2011, GbRPR.

Orientation plasticity and the tilt aftereffect in network models of V1

Klaus Obermayer, Klaus Wimmer, K. Obermayer, 2009, BMC Neuroscience.

Classi cation on Pairwise Proximity

Klaus Obermayer, Thore Graepel, Ralf Herbrich, 2007 .

Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis

Klaus Obermayer, Robert Pröpper, K. Obermayer, 2013, Front. Neuroinform..

Elkan's k-Means Algorithm for Graphs

Klaus Obermayer, Brijnesh J. Jain, K. Obermayer, 2010, MICAI.

The optimal unbiased value estimator and its relation to LSTD, TD and MC

Klaus Obermayer, Steffen Grünewälder, 2010, Machine Learning.

Warping with optimized weighting factors of displacement vectors-a new method to reduce inter-individual variations in brain imaging

Michael Scholz, Klaus Obermayer, Andreas Hess, 2000, 4th IEEE Southwest Symposium on Image Analysis and Interpretation.

Spatial separation of two different pathways accounting for the generation of calcium signals in astrocytes

Klaus Obermayer, Konstantin Mergenthaler, Franziska Oschmann, 2017, PLoS Comput. Biol..

Construction of approximation spaces for reinforcement learning

Klaus Obermayer, Wendelin Böhmer, Marek Musial, 2013, J. Mach. Learn. Res..

A unified framework for risk-sensitive Markov control processes

Klaus Obermayer, Wilhelm Stannat, Yun Shen, 2014, 53rd IEEE Conference on Decision and Control.

Self-organizing maps and clustering methods for matrix data

Klaus Obermayer, Sambu Seo, K. Obermayer, 2004, Neural Networks.

Reading-out task variables as a low-dimensional reconstruction of neural spike trains in single trials

Klaus Obermayer, Valentin Dragoi, Veronika Koren, 2019, bioRxiv.

Design of a video feedback SSVEP-BCI system for car control based on improved MUSIC method

Chang Liu, Klaus Obermayer, Wei Wang, 2018, 2018 6th International Conference on Brain-Computer Interface (BCI).

Soft Learning Vector Quantization

Klaus Obermayer, Sambu Seo, K. Obermayer, 2003, Neural Computation.

Joining Sound Event Detection and Localization Through Spatial Segregation

Dorothea Kolossa, Klaus Obermayer, Christopher Schymura, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies

Klaus Obermayer, Steffen Grünewälder, Arno Onken, 2009, NIPS.

Finding Subsequences of Melodies in Musical Pieces

Klaus Obermayer, Kamil Adiloglu, 2005, ICMC.

A structure preserving image transformation as the goal of visual sensory coding

Klaus Obermayer, Hauke Bartsch, 2002, Neurocomputing.

Robust Detection of Environmental Sounds in Binaural Auditory Scenes

Klaus Obermayer, Ivo Trowitzsch, Johannes Mohr, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Auditory Machine Learning Training and Testing Pipeline: AMLTTP v3.0

Klaus Obermayer, Ivo Trowitzsch, Youssef Kashef, 2019 .

Sparse Optimization for Second Order Kernel Methods

Klaus Obermayer, Roland Vollgraf, K. Obermayer, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Efficient speech enhancement by diffusive gain factors (DGF)

Klaus Obermayer, Mathias Bode, Hyoung-Gook Kim, 2001, INTERSPEECH.

Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation

Klaus Obermayer, Steffen Grünewälder, Arno Onken, 2009, PLoS Comput. Biol..

Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems

Klaus Obermayer, Michael C. Mozer, Sepp Hochreiter, 2002, NIPS.

Regression Models for Ordinal Data: A Machine Learning Approach

Klaus Obermayer, Thore Graepel, Ralf Herbrich, 1999 .

Linear correlation-based learning models require a two-stage process for the development of orientation and ocular dominance

Helge J. Ritter, Klaus Obermayer, Christian Piepenbrock, 2004, Neural Processing Letters.

Learning Graph Quantization

Klaus Obermayer, Brijnesh J. Jain, S. Deepak Srinivasan, 2010, SSPR/SPR.

Adaptation and Selective Information Transmission in the Cricket Auditory Neuron AN2

Klaus Obermayer, R. Matthias Hennig, Klaus Wimmer, 2008, PLoS Comput. Biol..

Hyperincident connected components of tagging networks

Klaus Obermayer, Nicolas Neubauer, 2009, HT '09.

Self-organizing maps: stationary states, metastability and convergence rate

Klaus Schulten, Klaus Obermayer, E. Erwin, 1992, Biological Cybernetics.

Neural systems for choice and valuation with counterfactual learning signals

Christian Büchel, Klaus Obermayer, Wendelin Böhmer, 2014, NeuroImage.

A Critical Comparison of Models for Orientation and Ocular Dominance Columns in the Striate Cortex

Klaus Schulten, Klaus Obermayer, E. Erwin, 1994, NIPS.

Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis

Klaus Obermayer, Wendelin Böhmer, Hannes Nickisch, 2012, Machine Learning.

Emergence of Modularity within One Sheet of Neurons: A Model Comparison

Cornelius Weber, Klaus Obermayer, K. Obermayer, 2001, Emergent Neural Computational Architectures Based on Neuroscience.

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

Klaus Obermayer, Gregor Wenning, 2002, Neurocomputing.

Risk Sensitive Multiple Goal Stochastic Optimization, with application to Risk Sensitive Partially Observed Markov Decision Processes

Klaus Obermayer, Robert Seidel, Vaios Laschos, 2018 .

Gaussian Process Regression: Active Data Selection and Test Point Rejection

Klaus Obermayer, Thore Graepel, Sambu Seo, 2000, DAGM-Symposium.

Algorithms for the Sample Mean of Graphs

Klaus Obermayer, Brijnesh J. Jain, K. Obermayer, 2009, CAIP.

A Hippocampal Signature of Perceptual Learning in Object Recognition

Klaus Obermayer, John-Dylan Haynes, Philipp Sterzer, 2015, Journal of Cognitive Neuroscience.

Rapid adaptation and efficient coding.

Klaus Obermayer, Lars Schwabe, K. Obermayer, 2002, Bio Systems.

Segmentation of 2 1/2 D brain image stacks with automatic extraction and visualization of functional information

Michael Scholz, Klaus Obermayer, Andreas Hess, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Auditory Representations as Landmarks in the Sound Design Space

Carlo Drioli, S. Delle Monache, Davide Rocchesso, 2009 .

3D edge detection to define landmarks for point-based warping in brain imaging

Michael Scholz, Klaus Obermayer, Andreas Hess, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons

Klaus Obermayer, Josef Ladenbauer, Moritz Augustin, 2017 .

Akzeptanzfähigkeit von Tagging-Systemen in benutzergenerierten virtuellen Welten

Rüdiger Zarnekow, Werner Rammert, Klaus Obermayer, 2010, MKWI.

Dynamics of Orientation Tuning in Cat V1 Neurons Depend on Location Within Layers and Orientation Maps

Klaus Obermayer, Mriganka Sur, Robert Martin, 2007, Front. Neurosci..

A dynamic cortical amplifier model for fast information processing

Klaus Obermayer, Lars Schwabe, Péter Adorján, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Topological Features of the Two-Voice Inventions

Klaus Obermayer, Kamil Adiloĝlu, 2007 .

Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations

Klaus Obermayer, Hideaki Shimazaki, Christian Donner, 2016, PLoS Comput. Biol..

Connected Components of 3-Partite 3-Uniform Hypergraphs

Klaus Obermayer, Nicolas Neubauer, 2009 .

Performance of 3D landmark detection methods for point-based warping in autoradiographic brain imaging

Michael Scholz, Klaus Obermayer, Andreas Hess, 2002, Proceedings Fifth IEEE Southwest Symposium on Image Analysis and Interpretation.

Why it is hard to generate orientation and ocular dominance with linear correlation based learning models

Klaus Obermayer, Helge Ritter, Christian Piepenbrock, 1995, NIPS 1995.

Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers

Klaus Obermayer, Sepp Hochreiter, S. Hochreiter, 2002, NIPS.

Adaptation using local information for maximizing the global cost

Klaus Obermayer, Gregor Wenning, Thomas Hoch, 2003, Neurocomputing.

A classifier-based association test for imbalanced data derived from prediction theory

Klaus Obermayer, Sambu Seo, Johannes Mohr, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

The influence of threshold variability on the response of visual cortical neurons

Klaus Obermayer, Hauke Bartsch, Martin Stetter, 2000, Neurocomputing.

Graph quantization

Klaus Obermayer, Brijnesh J. Jain, K. Obermayer, 2010, Comput. Vis. Image Underst..

A simulation framework for acute extracellular recordings

Klaus Obermayer, Gaute T. Einevoll, Philipp Meier, 2012 .

Blind Signal Separation from Optical Imaging Data

Klaus Obermayer, John E. W. Mayhew, Martin Stetter, 2000, DAGM-Symposium.

Recurrent Cortical Competition: Strengthen or Weaken?

Klaus Obermayer, Lars Schwabe, Christian Piepenbrock, 1999, NIPS.

The effect of intracortical competition on the formation of topographic maps in models of Hebbian learning

Klaus Obermayer, Christian Piepenbrock, K. Obermayer, 2000, Biological Cybernetics.

A Two-Level Learning Hierarchy of Concept Based Keyword Extraction for Tag Recommendations

Klaus Obermayer, Hendri Murfi, 2009, DC@PKDD/ECML.

Multiple alignment of contact maps

Klaus Obermayer, Michael Lappe, Brijnesh J. Jain, 2009, 2009 International Joint Conference on Neural Networks.

A simulated extracellular recording environment for the evaluation of automated electrode positioning systems and spike sorting algorithms

Klaus Obermayer, Felix Franke, K. Obermayer, 2010 .

Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17

Klaus Obermayer, Elmar Wolfgang Lang, Martin Stetter, 1997, ICANN.

Large Sample Statistics in the Domain of Graphs

Klaus Obermayer, Brijnesh J. Jain, K. Obermayer, 2010, SSPR/SPR.

Blind signal separation from optical imaging recordings with extended spatial decorrelation

Klaus Obermayer, John E. W. Mayhew, Martin Stetter, 2000, IEEE Transactions on Biomedical Engineering.

Development of Orientation and Ocular Dominance Columns in Infant Macaques

Klaus Obermayer, Lynne Kiorpes, Gary G. Blasdel, 1993, NIPS.

On the Anatomical Basis of Field Size, Contrast Sensitivity, and Orientation Selectivity in Macaque Striate Cortex: A Model Study

Michael Scholz, Klaus Obermayer, Ute Bauer, 1997, ICANN.

A new method for tracking modulations in tonal music in audio data format

Klaus Obermayer, Benjamin Blankertz, Hendrik Purwins, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Models of Orientation and Ocular Dominance Columns in the Visual Cortex: A Critical Comparison

Klaus Schulten, Klaus Obermayer, E. Erwin, 1995, Neural Computation.

The effect of correlations in the background activity on the information transmission properties of neural populations

Klaus Obermayer, Gregor Wenning, Thomas Hoch, 2005, Neurocomputing.

pypet: a python toolkit for simulations and numerical experiments

Klaus Obermayer, Robert Meyer, 2015, BMC Neuroscience.

Active Learning by Spherical Subdivision

Klaus Obermayer, Falk-Florian Henrich, 2008, J. Mach. Learn. Res..

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

Klaus Obermayer, Marcel Stimberg, Thomas Hoch, 2007, Neurocomputing.

Automatic three-dimensional graph construction of nerve cells from confocal microscopy scans

Anca Dima, Michael Scholz, Klaus Obermayer, 2003, J. Electronic Imaging.

3D Reconstruction of Neurons from Confocal Image Stacks and Visualization of Computational Modeling Experiments

Klaus Obermayer, Michael Sibila, Carsten Duch, 2008, Bildverarbeitung für die Medizin.

A voxel selection method for the multivariate analysis of imaging genetics data

Klaus Obermayer, Hauke R. Heekeren, Andreas Heinz, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Active Data Selection for Fuzzy Topographic Mapping of Proximities

Martina Hasenjäger, Helge Ritter, Klaus Obermayer, 1999 .

Low-dimensional spike rate dynamics of coupled adaptive model neurons

Klaus Obermayer, Josef Ladenbauer, Moritz Augustin, 2015, BMC Neuroscience.

Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies

Klaus Obermayer, Andreas Heinz, Sambu Seo, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Large-Scale Simulation of a Self-organizing Neural Network: Formation of a Somatotopic Map

Klaus Schulten, Klaus Obermayer, Helge Ritter, 1989 .

A Model for the Development of the Spatial Structure of Retinotopic Maps and Orientation Columns

Klaus Obermayer, Helge Ritter, Helge Ritter, 1992 .

Representations and Predictors for Everyday Sounds

Klaus Obermayer, Kamil Adiloglu, P. Purwins, 2008 .

Spectrum of Pitch Differences Models the Perception of Octave Ambiguous Tones

Klaus Obermayer, Hendrik Purwins, Immanuel Normann, 2001, ICMC.

Erratum: Cortical reorganization consistent with spike timing-but not correlation-dependent plasticity (Nature Neuroscience (2007) 10, (887-895))

Klaus Obermayer, Michael B. Calford, Wioletta J. Waleszczyk, 2007 .

Automatic segmentation and skeletonization of neurons from confocal microscopy images based on the 3-D wavelet transform

Anca Dima, Michael Scholz, Klaus Obermayer, 2002, IEEE Trans. Image Process..

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

Michael Scholz, Klaus Obermayer, Andreas Hess, 2003, NeuroImage.

Quadratic optimization for simultaneous matrix diagonalization

Klaus Obermayer, Roland Vollgraf, K. Obermayer, 2006, IEEE Transactions on Signal Processing.

A Maximum Common Subgraph Kernel Method for Predicting the Chromosome Aberration Test

Klaus Obermayer, Brijnesh J. Jain, Thomas Steger-Hartmann, 2010, J. Chem. Inf. Model..

Self-organizing maps: Generalizations and new optimization techniques

Klaus Obermayer, Thore Graepel, Matthias Burger, 1998, Neurocomputing.

Active topographic mapping of proximities

Martina Hasenjäger, Helge Ritter, Klaus Obermayer, 1999 .

Structured models from structured data: emergence of modular information processing within one sheet of neurons

Cornelius Weber, Klaus Obermayer, K. Obermayer, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

A Maximum Entropy Test for Evaluating Higher-Order Correlations in Spike Counts

Klaus Obermayer, Arno Onken, Valentin Dragoi, 2012, PLoS Comput. Biol..

Risk-Sensitive Reinforcement Learning

Klaus Obermayer, Tobias Sommer, Yun Shen, 2013, Neural Computation.

Using temporal associations to model the development of place fields in a novel environment

Péter Érdi, Klaus Obermayer, Máté Lengyel, 1998 .

Scale Degree Profiles from Audio Investigated with Machine Learning

Klaus Obermayer, Benjamin Blankertz, Guido Dornhege, 2004 .

Gaussian process regression: active data selection and test point rejection

Klaus Obermayer, Thore Graepel, Sambu Seo, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

pypet: A Python Toolkit for Data Management of Parameter Explorations

Klaus Obermayer, Robert Meyer, K. Obermayer, 2016, Front. Neuroinform..

Risk-Averse Reinforcement Learning for Algorithmic Trading

Klaus Obermayer, Chang Yan, Yun Shen, 2013 .

A New Approach to Define Landmarks for Point-Based Warping in Brain Imaging

Michael Scholz, Klaus Obermayer, Andreas Hess, 2000, Bildverarbeitung für die Medizin.

A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields

Klaus Obermayer, Hauke Bartsch, Martin Stetter, 1997, ICANN.

Geometrical Approaches to Active Learning

Klaus Obermayer, Kamil Adiloglu, Robert Anniés, 2008, SJTU-TUB Joint Workshop.

Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning pdf

Klaus Obermayer, Wendelin Böhmer, Rong Guo, 2016, ArXiv.

Automatic spike sorting evaluation: A website based community approach

Klaus Obermayer, Gaute T. Einevoll, Thomas Wachtler, 2014 .

A modular framework for object-based saccadic decisions in dynamic scenes pdf

Klaus Obermayer, Olaf Hellwich, Martin Rolfs, 2021, ArXiv.

Applications of nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators pdf

Klaus Obermayer, Caglar Cakan, Teresa Chouzouris, 2021, ArXiv.

Berlin-APC: A Privacy-Friendly Dataset for Automated Passenger Counting in Public Transport

Klaus Obermayer, Sambu Seo, Dimitra Zarafeta, 2021 .

Exploring the Similarity of Representations in Model-Agnostic Meta-Learning pdf

Klaus Obermayer, Thomas Goerttler, K. Obermayer, 2021, ArXiv.

Applications of optimal nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators.

Klaus Obermayer, Caglar Cakan, Teresa Chouzouris, 2021, Physical review. E.

Weak electric fields promote resonance in neuronal spiking activity: Analytical results from two-compartment cell and network models

Klaus Obermayer, Josef Ladenbauer, K. Obermayer, 2018, bioRxiv.

Employing a Binaural Auditory Model to Classify Everyday Sound Events

Alexander Raake, Klaus Obermayer, Sascha Spors, 2012 .

Orientation selective cells emerge in a sparsely coding Boltzmann machine

Cornelius Weber, Klaus Obermayer, 1999 .

Corrigendum: Cortical reorganization consistent with spike timing|[ndash]|but not correlation-dependent plasticity

Klaus Obermayer, Michael B. Calford, Wioletta J. Waleszczyk, 2007 .

From in silico astrocyte cell models to neuron-astrocyte network models: A review

Klaus Obermayer, Hugues Berry, Kerstin Lenk, 2018, Brain Research Bulletin.

Perceptual Representations for Classification of Everyday Sounds

Klaus Obermayer, Kamil Adiloglu, P. Purwins, 2007 .

Modelling the Formation of Sensory Representations in the Brain

Klaus Obermayer, 2000 .

Effects of adaptation and synaptic plasticity on synchronization of coupled oscillating neurons

Klaus Obermayer, Josef Ladenbauer, LieJune Shiau, 2011, BMC Neuroscience.

Detection of pulses in a colored noise setting.

Klaus Obermayer, Gregor Wenning, Thomas Hoch, 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

Automatic 3D-graph construction of nerve cells from confocal microscope scans

Anca Dima, Klaus Obermayer, Michael Scholz, 2003 .

Pairwise Synchrony and Correlations Depend on the Structure of the Population Code in Visual Cortex.

Klaus Obermayer, Ariana R Andrei, Valentin Dragoi, 2020, Cell reports.

Predicting Tag Spam Examining Cooccurrences , Network Structures and URL Components

Klaus Obermayer, Nicolas Neubauer, K. Obermayer, 2008 .

Real‐time noise canceling based on spectral minimum detection and diffusive gain factors

Klaus Obermayer, Dietmar Ruwisch, Mathias Bode, 2000 .

A model for simultaneous ON-OFF and ocular dominance segregation in area 17 via synaptic clustering

Klaus Obermayer, Elmar Lang, Martin Stetter, 1997 .

Spike rate dynamics of coupled adaptive model neurons

Klaus Obermayer, 2014 .

Efficient Query Delegation by Detecting Redundant Retrieval Strategies

Klaus Obermayer, Sahin Albayrak, Christian Scheel, 2007 .

DEVELOPMENT AND REGENERATION OF THE RETINOTECTAL MAP IN GOLDFISH : A COMPUTATIONAL STUDY

Cornelius Weber, Klaus Obermayer, Jack D. Cowan, 1997 .

Adaptivity of Tuning Functions in a Generic Recurrent Network Model of a Cortical Hypercolumn

Klaus Obermayer, Lars Schwabe, 2005, The Journal of Neuroscience.

Optimal steering vector adaptation for linear filters leading to robust beamforming

Klaus Obermayer, Simon A. Broda, Felix Franke, 2010, 2010 4th International Symposium on Communications, Control and Signal Processing (ISCCSP).

A new particle tracking algorithm based on deterministic annealing and alternative distance measures

Klaus Obermayer, M. Stellmacher, M. Stellmacher, 2000 .

How adaptation currents change threshold, gain, and variability of neuronal spiking.

Klaus Obermayer, Josef Ladenbauer, Moritz Augustin, 2013, Journal of neurophysiology.

The operating regime of local computations in primary visual cortex.

Klaus Obermayer, David C Lyon, Lars Schwabe, 2009, Cerebral cortex.

On the operating point of cortical computation

Klaus Obermayer, Marcel Stimberg, Klaus Wimmer, 2010 .

A systems medicine research approach for studying alcohol addiction

Klaus Obermayer, Daniel Durstewitz, Henrik Walter, 2013, Addiction biology.

BOiS—Berlin Object in Scene Database: Controlled Photographic Images for Visual Search Experiments with Quantified Contextual Priors

Felix A. Wichmann, Klaus Obermayer, Johannes Mohr, 2016, Front. Psychol..

Rapid adaptation to internal states as a coding strategy in visual cortex?

Klaus Obermayer, Lars Schwabe, Gregor Wenning, 2002, Neuroreport.

A paradigmatic approach to extract the melodic structure of a musical piece

Klaus Obermayer, Kamil Adiloglu, Thomas Noll, 2006 .

5 Toroidal Models in Tonal Theory and Pitch- Class Analysis

Klaus Obermayer, Benjamin Blankertz, Hendrik Purwins, 2007 .

Correspondence Analysis for Visualizing Interplay of Pitch Class, Key, and Composer

Klaus Obermayer, Benjamin Blankertz, Thore Graepel, 2003 .

Gaussian Process Regression: Active Data Selection and Test Point

Klaus Obermayer, Thore Graepel, Sambu Seo, 2000 .

Adaptation at synaptic connections to layer 2/3 pyramidal cells in rat visual cortex.

Klaus Obermayer, Maxim Volgushev, Marina Chistiakova, 2005, Journal of neurophysiology.

Sequence classificatio n for protein analysis

Klaus Obermayer, Sepp Hochreiter, S. Hochreiter, 2005 .

Using unlabeled data for supervised learning

Klaus Obermayer, Thore Graepel, Ralf Herbrich, 1999 .

Classification, Regression, and Feature Selection

Klaus Obermayer, Sepp Hochreiter, Revised December, 2004 .