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ORCIDKlaus Obermayer
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- affiliation: Technical University of Berlin, Department of Mathematics, Germany
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2020 – today
- 2024
[j97]Lena Salfenmoser, Klaus Obermayer:
A framework for optimal control of oscillations and synchrony applied to non-linear models of neural population dynamics. Frontiers Comput. Neurosci. 18 (2024)- [j96]Cristiana Dimulescu, Leonhard Donle
, Caglar Cakan, Thomas Goerttler, Liliia Khakimova, Julia Ladenbauer, Agnes Flöel, Klaus Obermayer:
Improving the detection of sleep slow oscillations in electroencephalographic data. Frontiers Neuroinformatics 18 (2024) - [i20]Vito Mengers, Nicolas Roth, Oliver Brock, Klaus Obermayer, Martin Rolfs:
A Robotics-Inspired Scanpath Model Reveals the Importance of Uncertainty and Semantic Object Cues for Gaze Guidance in Dynamic Scenes. CoRR abs/2408.01322 (2024) - 2023
- [j95]Caglar Cakan, Nikola Jajcay, Klaus Obermayer:
neurolib: A Simulation Framework for Whole-Brain Neural Mass Modeling. Cogn. Comput. 15(4): 1132-1152 (2023) - [j94]Agnessa Karapetian, Antoniya Boyanova, Muthukumar Pandaram, Klaus Obermayer, Tim C. Kietzmann, Radoslaw Martin Cichy:
Empirically Identifying and Computationally Modeling the Brain-Behavior Relationship for Human Scene Categorization. J. Cogn. Neurosci. 35(11): 1879-1897 (2023) - [j93]Nicolas Roth, Martin Rolfs, Olaf Hellwich, Klaus Obermayer:
Objects guide human gaze behavior in dynamic real-world scenes. PLoS Comput. Biol. 19(10) (2023) - 2022
- [j92]Nikola Jajcay, Caglar Cakan, Klaus Obermayer:
Cross-Frequency Slow Oscillation-Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model. Frontiers Comput. Neurosci. 16: 769860 (2022) - [j91]Lucas Rebscher, Klaus Obermayer, Christoph Metzner:
Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks. Frontiers Comput. Neurosci. 16: 825865 (2022) - [j90]Lena Salfenmoser, Klaus Obermayer:
Nonlinear optimal control of a mean-field model of neural population dynamics. Frontiers Comput. Neurosci. 16 (2022) - [j89]Denis Alevi, Marcel Stimberg, Henning Sprekeler, Klaus Obermayer, Moritz Augustin:
Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs. Frontiers Neuroinformatics 16 (2022) - [c96]Shashi Durbha, Thomas Goerttler, Eduardo Vellasques, Jan Hendrik Stockemer, Klaus Obermayer:
Intrinsic Analysis of Learned Representations in Encoder-Decoder Architectures. LWDA 2022: 67-78 - [i19]Thomas Goerttler, Klaus Obermayer:
Similarity of Pre-trained and Fine-tuned Representations. CoRR abs/2207.09225 (2022) - [i18]Jonas Dippel, Matthias Lenga, Thomas Goerttler, Klaus Obermayer, Johannes Höhne:
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder. CoRR abs/2207.14508 (2022) - 2021
- [j88]Caglar Cakan, Cristiana Dimulescu, Liliia Khakimova, Daniela Obst, Agnes Flöel, Klaus Obermayer:
Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep. Frontiers Comput. Neurosci. 15: 800101 (2021) - [j87]Caglar Cakan, Klaus Obermayer:
Correction: Biophysically grounded mean-field models of neural populations under electrical stimulation. PLoS Comput. Biol. 17(2) (2021) - [i17]Teresa Chouzouris, Nicolas Roth, Caglar Cakan, Klaus Obermayer:
Applications of nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators. CoRR abs/2102.08524 (2021) - [i16]Thomas Goerttler, Klaus Obermayer:
Exploring the Similarity of Representations in Model-Agnostic Meta-Learning. CoRR abs/2105.05757 (2021) - [i15]Nicolas Roth, Pia Bideau, Olaf Hellwich, Martin Rolfs, Klaus Obermayer:
A modular framework for object-based saccadic decisions in dynamic scenes. CoRR abs/2106.06073 (2021) - 2020
- [j86]Caglar Cakan, Klaus Obermayer:
Biophysically grounded mean-field models of neural populations under electrical stimulation. PLoS Comput. Biol. 16(4) (2020) - [j85]Ivo Trowitzsch, Christopher Schymura, Dorothea Kolossa, Klaus Obermayer:
Joining Sound Event Detection and Localization Through Spatial Segregation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 487-502 (2020)
2010 – 2019
- 2019
- [j84]Josef Ladenbauer, Klaus Obermayer:
Weak electric fields promote resonance in neuronal spiking activity: Analytical results from two-compartment cell and network models. PLoS Comput. Biol. 15(4) (2019) - [i14]Ivo Trowitzsch, Jalil Taghia, Youssef Kashef, Klaus Obermayer:
The NIGENS General Sound Events Database. CoRR abs/1902.08314 (2019) - [i13]Ivo Trowitzsch, Christopher Schymura, Dorothea Kolossa, Klaus Obermayer:
Joining Sound Event Detection and Localization Through Spatial Segregation. CoRR abs/1904.00055 (2019) - [i12]Vaios Laschos, Jan Tinapp, Klaus Obermayer:
Training Generative Networks with general Optimal Transport distances. CoRR abs/1910.00535 (2019) - 2018
- [j83]Florian Aspart, Michiel W. H. Remme, Klaus Obermayer:
Differential polarization of cortical pyramidal neuron dendrites through weak extracellular fields. PLoS Comput. Biol. 14(5) (2018) - [c95]Chang Liu, Songyun Xie, Xinzhou Xie, Xu Duan, Wei Wang, Klaus Obermayer:
Design of a video feedback SSVEP-BCI system for car control based on improved MUSIC method. BCI 2018: 1-4 - 2017
- [j82]Robert Meyer, Josef Ladenbauer, Klaus Obermayer:
The Influence of Mexican Hat Recurrent Connectivity on Noise Correlations and Stimulus Encoding. Frontiers Comput. Neurosci. 11: 34 (2017) - [j81]Raphaël Holca-Lamarre, Jörg Lücke, Klaus Obermayer:
Models of Acetylcholine and Dopamine Signals Differentially Improve Neural Representations. Frontiers Comput. Neurosci. 11: 54 (2017) - [j80]Christian Donner, Klaus Obermayer, Hideaki Shimazaki:
Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations. PLoS Comput. Biol. 13(1) (2017) - [j79]Franziska Oschmann, Konstantin Mergenthaler, Evelyn Jungnickel, Klaus Obermayer:
Spatial separation of two different pathways accounting for the generation of calcium signals in astrocytes. PLoS Comput. Biol. 13(2) (2017) - [j78]Moritz Augustin, Josef Ladenbauer, Fabian Baumann, Klaus Obermayer:
Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation. PLoS Comput. Biol. 13(6) (2017) - [j77]Ivo Trowitzsch, Johannes Mohr, Youssef Kashef, Klaus Obermayer:
Robust Detection of Environmental Sounds in Binaural Auditory Scenes. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1344-1356 (2017) - 2016
- [j76]Songyun Xie, Chang Liu, Klaus Obermayer, Fangshi Zhu, Linan Wang, Xinzhou Xie, Wei Wang:
Stimulator Selection in SSVEP-Based Spatial Selective Attention Study. Comput. Intell. Neurosci. 2016: 6410718:1-6410718:9 (2016) - [j75]Robert Meyer, Klaus Obermayer:
pypet: A Python Toolkit for Data Management of Parameter Explorations. Frontiers Neuroinformatics 10: 38 (2016) - [j74]Jacob Kanev, Achilleas Koutsou, Chris Christodoulou, Klaus Obermayer:
Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode. Neural Comput. 28(10): 2091-2128 (2016) - [j73]Florian Aspart, Josef Ladenbauer, Klaus Obermayer:
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. 12(11) (2016) - [i11]Wendelin Böhmer, Rong Guo, Klaus Obermayer:
Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning. CoRR abs/1612.07548 (2016) - 2015
- [j72]Felix Franke, Rodrigo Quian Quiroga, Andreas Hierlemann, Klaus Obermayer:
Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering. J. Comput. Neurosci. 38(3): 439-459 (2015) - [j71]Felix Franke, Rodrigo Quian Quiroga, Andreas Hierlemann, Klaus Obermayer:
Erratum to: Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering. J. Comput. Neurosci. 38(3): 461 (2015) - [j70]Matthias Guggenmos, Marcus Rothkirch, Klaus Obermayer, John-Dylan Haynes, Philipp Sterzer:
A Hippocampal Signature of Perceptual Learning in Object Recognition. J. Cogn. Neurosci. 27(4): 787-797 (2015) - [j69]Wendelin Böhmer, Jost Tobias Springenberg, Joschka Boedecker, Martin A. Riedmiller, Klaus Obermayer:
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. 29(4): 353-362 (2015) - [c94]Sambu Seo, Johannes Mohr, Ningfei Li, Andreas Horn, Klaus Obermayer:
Incremental pairwise clustering for large proximity matrices. IJCNN 2015: 1-8 - [c93]Wendelin Böhmer, Klaus Obermayer:
Regression with Linear Factored Functions. ECML/PKDD (1) 2015: 119-134 - 2014
- [j68]Yun Shen, Michael J. Tobia, Tobias Sommer, Klaus Obermayer:
Risk-Sensitive Reinforcement Learning. Neural Comput. 26(7): 1298-1328 (2014) - [j67]Michael J. Tobia, R. Guo, U. Schwarze, Wendelin Böhmer, Jan Gläscher, B. Finckh, A. Marschner, Christian Büchel, Klaus Obermayer, Tobias Sommer:
Neural systems for choice and valuation with counterfactual learning signals. NeuroImage 89: 57-69 (2014) - [j66]Johannes Mohr, Jong-Han Park, Klaus Obermayer:
A computer vision system for rapid search inspired by surface-based attention mechanisms from human perception. Neural Networks 60: 182-193 (2014) - [c92]Yun Shen, Wilhelm Stannat, Klaus Obermayer:
A unified framework for risk-sensitive Markov control processes. CDC 2014: 1073-1078 - [c91]Yun Shen, Ruihong Huang, Chang Yan, Klaus Obermayer:
Risk-averse reinforcement learning for algorithmic trading. CIFEr 2014: 391-398 - [c90]Johannes Mohr, Sambu Seo, Klaus Obermayer:
A classifier-based association test for imbalanced data derived from prediction theory. IJCNN 2014: 487-493 - [r1]Klaus Obermayer:
Learning Rules: Overview. Encyclopedia of Computational Neuroscience 2014 - [i10]Wendelin Böhmer, Klaus Obermayer:
Factored Representations for Regression. CoRR abs/1412.6286 (2014) - 2013
- [j65]Moritz Augustin, Josef Ladenbauer, Klaus Obermayer:
How adaptation shapes spike rate oscillations in recurrent neuronal networks. Frontiers Comput. Neurosci. 7: 9 (2013) - [j64]Robert Pröpper, Klaus Obermayer:
Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis. Frontiers Neuroinformatics 7: 26 (2013) - [j63]Wendelin Böhmer, Steffen Grünewälder, Yun Shen, Marek Musial, Klaus Obermayer:
Construction of approximation spaces for reinforcement learning. J. Mach. Learn. Res. 14(1): 2067-2118 (2013) - [j62]Yun Shen, Wilhelm Stannat, Klaus Obermayer:
Risk-Sensitive Markov Control Processes. SIAM J. Control. Optim. 51(5): 3652-3672 (2013) - [c89]Songyun Xie, Fangshi Zhu, Klaus Obermayer, Petra Ritter, Linan Wang:
A spatial selective visual attention pattern recognition method based on joint short SSVEP. IJCNN 2013: 1-7 - [i9]Yun Shen, Michael J. Tobia, Tobias Sommer, Klaus Obermayer:
Risk-sensitive Reinforcement Learning. CoRR abs/1311.2097 (2013) - 2012
- [j61]Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer:
Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis. Mach. Learn. 89(1-2): 67-86 (2012) - [j60]Josef Ladenbauer, Moritz Augustin, LieJune Shiau, Klaus Obermayer:
Impact of Adaptation Currents on Synchronization of Coupled Exponential Integrate-and-Fire Neurons. PLoS Comput. Biol. 8(4) (2012) - [j59]Arno Onken, Valentin Dragoi, Klaus Obermayer:
A Maximum Entropy Test for Evaluating Higher-Order Correlations in Spike Counts. PLoS Comput. Biol. 8(6) (2012) - [j58]Kamil Adiloglu, Robert Anniés, Elio Wahlen, Hendrik Purwins, Klaus Obermayer:
A Graphical Representation and Dissimilarity Measure for Basic Everyday Sound Events. IEEE Trans. Speech Audio Process. 20(5): 1542-1552 (2012) - [c88]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 - [i8]Brijnesh J. Jain, Klaus Obermayer:
Learning in Riemannian Orbifolds. CoRR abs/1204.4294 (2012) - 2011
- [j57]Brijnesh J. Jain, Klaus Obermayer:
Graph quantization. Comput. Vis. Image Underst. 115(7): 946-961 (2011) - [j56]Michal Natora, Klaus Obermayer:
An Unsupervised and Drift-Adaptive Spike Detection Algorithm Based on Hybrid Blind Beamforming. EURASIP J. Adv. Signal Process. 2011 (2011) - [j55]Steffen Grünewälder, Klaus Obermayer:
The optimal unbiased value estimator and its relation to LSTD, TD and MC. Mach. Learn. 83(3): 289-330 (2011) - [j54]Nicolas Neubauer, Klaus Obermayer:
Tripartite community structure in social bookmarking data. New Rev. Hypermedia Multim. 17(3): 267-294 (2011) - [c87]Brijnesh J. Jain, Klaus Obermayer:
Maximum Likelihood for Gaussians on Graphs. GbRPR 2011: 62-71 - [c86]Brijnesh J. Jain, Klaus Obermayer:
Generalized Learning Graph Quantization. GbRPR 2011: 122-131 - [c85]Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer:
Regularized Sparse Kernel Slow Feature Analysis. ECML/PKDD (1) 2011: 235-248 - [i7]Brijnesh J. Jain, Klaus Obermayer:
Extending Bron Kerbosch for Solving the Maximum Weight Clique Problem. CoRR abs/1101.1266 (2011) - [i6]S. Deepak Srinivasan, Klaus Obermayer:
Probabilistic prototype models for attributed graphs. CoRR abs/1109.4744 (2011) - [i5]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) - 2010
- [j53]Johannes Mohr, Brijnesh J. Jain, Andreas Sutter, Antonius ter Laak, Thomas Steger-Hartmann, Nikolaus Heinrich, Klaus Obermayer:
A Maximum Common Subgraph Kernel Method for Predicting the Chromosome Aberration Test. J. Chem. Inf. Model. 50(10): 1821-1838 (2010) - [j52]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. J. Comput. Neurosci. 29(1-2): 127-148 (2010) - [c84]Brijnesh J. Jain, Klaus Obermayer:
Consistent Estimator of Median and Mean Graph. ICPR 2010: 1032-1035 - [c83]Brijnesh J. Jain, Klaus Obermayer:
Elkan's k-Means Algorithm for Graphs. MICAI (2) 2010: 22-32 - [c82]Danny Pannicke, Michael Hahne, Nicolas Neubauer, Bartek Ochab, Renate Lieb, Martin Meister, Klaus Obermayer, Werner Rammert, Rüdiger Zarnekow:
Akzeptanzfähigkeit von Tagging-Systemen in benutzergenerierten virtuellen Welten. MKWI 2010: 1191-1202 - [c81]Brijnesh J. Jain, S. Deepak Srinivasan, Alexander Tissen, Klaus Obermayer:
Learning Graph Quantization. SSPR/SPR 2010: 109-118 - [c80]Brijnesh J. Jain, Klaus Obermayer:
Large Sample Statistics in the Domain of Graphs. SSPR/SPR 2010: 690-697 - [i4]Brijnesh J. Jain, Klaus Obermayer:
Graph Quantization. CoRR abs/1001.0921 (2010) - [i3]Brijnesh J. Jain, Klaus Obermayer:
Accelerating Competitive Learning Graph Quantization. CoRR abs/1001.0927 (2010)
2000 – 2009
- 2009
- [j51]Brijnesh J. Jain, Klaus Obermayer:
Structure Spaces. J. Mach. Learn. Res. 10: 2667-2714 (2009) - [j50]Imke Puls, Johannes Mohr, Jana Wrase, Sabine Vollstädt-Klein, Tagrid Leménager, Christian Vollmert, Michael A. 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) - [j49]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 Comput. Biol. 5(11) (2009) - [j48]Nicolas Neubauer, Klaus Obermayer:
Hyperincident connected components of tagging networks. SIGWEB Newsl. 2009(Autumn): 4:1-4:10 (2009) - [c79]Nicolas Neubauer, Robert Wetzker, Klaus Obermayer:
Tag spam creates large non-giant connected components. AIRWeb 2009: 49-52 - [c78]Brijnesh J. Jain, Klaus Obermayer:
Algorithms for the Sample Mean of Graphs. CAIP 2009: 351-359 - [c77]Nicolas Neubauer, Klaus Obermayer:
Hyperincident connected components of tagging networks. Hypertext 2009: 229-238 - [c76]Sambu Seo, Johannes Mohr, Klaus Obermayer:
A New Incremental Pairwise Clustering Algorithm. ICMLA 2009: 223-228 - [c75]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 - [c74]Brijnesh J. Jain, Klaus Obermayer:
Bimal: Bipartite matching alignment for the contact map overlap problem. IJCNN 2009: 1394-1400 - [c73]Brijnesh J. Jain, Brijnesh Stehr, Michael Lappe, Klaus Obermayer:
Multiple alignment of contact maps. IJCNN 2009: 1401-1406 - [c72]Arno Onken, Steffen Grünewälder, Klaus Obermayer:
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies. NIPS 2009: 1383-1391 - [c71]Hendri Murfi, Klaus Obermayer:
A Two-Level Learning Hierarchy of Concept Based Keyword Extraction for Tag Recommendations. DC@PKDD/ECML 2009 - [i2]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) - [i1]Brijnesh J. Jain, Klaus Obermayer:
Elkan's k-Means for Graphs. CoRR abs/0912.4598 (2009) - 2008
- [j47]Johannes Mohr, Brijnesh J. Jain, Klaus Obermayer:
Molecule Kernels: A Descriptor- and Alignment-Free Quantitative Structure-Activity Relationship Approach. J. Chem. Inf. Model. 48(9): 1868-1881 (2008) - [j46]Falk-Florian Henrich, Klaus Obermayer:
Active Learning by Spherical Subdivision. J. Mach. Learn. Res. 9: 105-130 (2008) - [j45]Tilman Knebel, Sepp Hochreiter, Klaus Obermayer:
An SMO Algorithm for the Potential Support Vector Machine. Neural Comput. 20(1): 271-287 (2008) - [j44]Klaus Wimmer, K. Jannis Hildebrandt, R. Matthias Hennig, Klaus Obermayer:
Adaptation and Selective Information Transmission in the Cricket Auditory Neuron AN2. PLoS Comput. Biol. 4(9) (2008) - [c70]Bartek Ochab, Nicolas Neubauer, Klaus Obermayer:
Personalized Recommendations for the Web 3D. AH 2008: 374-377 - [c69]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 - [c68]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 - [c67]Manuel André Gaudnek, Andreas Hess, Klaus Obermayer, Michael Sibila:
Adaptive Threshold Masking. Bildverarbeitung für die Medizin 2008: 373-376 - [c66]Kamil Adiloglu, Robert Anniés, Klaus Obermayer, Yon Visell, Carlo Drioli:
Adaptive bottle. ICMC 2008 - [c65]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 - [c64]Johannes Mohr, Sambu Seo, Klaus Obermayer:
Automated Microarray Classification Based on P-SVM Gene Selection. ICMLA 2008: 503-507 - [c63]Brijnesh J. Jain, Klaus Obermayer:
On the sample mean of graphs. IJCNN 2008: 993-1000 - [c62]Kamil Adiloglu, Robert Anniés, Falk-Florian Henrich, André Paus, Klaus Obermayer:
Geometrical Approaches to Active Learning. SJTU-TUB Joint Workshop 2008: 11-19 - [c61]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 - [c60]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 - 2007
- [j43]Sepp Hochreiter, Martin Heusel, Klaus Obermayer:
Fast model-based protein homology detection without alignment. Bioinform. 23(14): 1728-1736 (2007) - [j42]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) - [c59]Steffen Grünewälder, Sepp Hochreiter, Klaus Obermayer:
Optimality of LSTD and its Relation to MC. IJCNN 2007: 338-343 - [c58]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 - 2006
- [j41]Sepp Hochreiter, Djork-Arné Clevert, Klaus Obermayer:
A new summarization method for affymetrix probe level data. Bioinform. 22(8): 943-949 (2006) - [j40]Sepp Hochreiter, Klaus Obermayer:
Support Vector Machines for Dyadic Data. Neural Comput. 18(6): 1472-1510 (2006) - [j39]Roland Vollgraf, Klaus Obermayer:
Improved optimal linear filters for the discrimination of multichannel waveform templates for spike-sorting applications. IEEE Signal Process. Lett. 13(3): 121-124 (2006) - [j38]Roland Vollgraf, Klaus Obermayer:
Quadratic optimization for simultaneous matrix diagonalization. IEEE Trans. Signal Process. 54(9): 3270-3278 (2006) - [c57]Kamil Adiloglu, Klaus Obermayer:
Melodic Topologies. ICMC 2006 - [c56]Roland Vollgraf, Klaus Obermayer:
Sparse Optimization for Second Order Kernel Methods. IJCNN 2006: 145-152 - [c55]Sambu Seo, Klaus Obermayer:
Dynamic Hyperparameter Scaling Method for LVQ Algorithms. IJCNN 2006: 3196-3203 - [c54]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 - [p1]Sepp Hochreiter, Klaus Obermayer:
Nonlinear Feature Selection with the Potential Support Vector Machine. Feature Extraction 2006: 419-438 - 2005
- [j37]Akhil Ranjan 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) - [j36]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) - [c53]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 - [c52]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 - [c51]Kamil Adiloglu, Klaus Obermayer:
Finding Subsequences of Melodies in Musical Pieces. ICMC 2005 - [c50]Sepp Hochreiter, Klaus Obermayer:
Optimal gradient-based learning using importance weights. IJCNN 2005: 114-119 - [c49]Sepp Hochreiter, Klaus Obermayer:
Optimal kernels for unsupervised learning. IJCNN 2005: 1895-1899 - 2004
- [j35]Jacob Kanev, Gregor Wenning, Klaus Obermayer:
Approximating the response-stimulus correlation for the integrate-and-fire neuron. Neurocomputing 58-60: 47-52 (2004) - [j34]Stephan Schmitt, Jan Felix Evers, Carsten Duch, Michael Scholz, Klaus Obermayer:
New methods for the computer-assisted 3-D reconstruction of neurons from confocal image stacks. NeuroImage 23(4): 1283-1298 (2004) - [j33]Sambu Seo, Klaus Obermayer:
Self-organizing maps and clustering methods for matrix data. Neural Networks 17(8-9): 1211-1229 (2004) - [j32]Ingo Schwetz, Gerhard Gruhler, Klaus Obermayer:
Correlation and stationarity of speech radiation: consequences for linear multichannel filtering. IEEE Trans. Speech Audio Process. 12(5): 460-467 (2004) - [c48]Akhil Ranjan Garg, Basabi Bhaumik, Klaus Obermayer:
Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions. ICONIP 2004: 64-69 - [c47]Akhil Ranjan 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 - [c46]Johannes Mohr, Klaus Obermayer:
A Topographic Support Vector Machine: Classification Using Local Label Configurations. NIPS 2004: 929-936 - 2003
- [j31]Hauke Bartsch, Klaus Obermayer:
Second-order statistics of natural images. Neurocomputing 52-54: 467-472 (2003) - [j30]Thomas Hoch, Gregor Wenning, Klaus Obermayer:
Adaptation using local information for maximizing the global cost. Neurocomputing 52-54: 541-546 (2003) - [j29]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) - [j28]Sambu Seo, Klaus Obermayer:
Soft Learning Vector Quantization. Neural Comput. 15(7): 1589-1604 (2003) - [j27]Rainer Pielot, Michael Scholz, Klaus Obermayer, Henning Scheich, Eckart D. Gundelfinger, Andreas Hess:
A new point-based warping method for enhanced and simplified analysis of functional brain image data. NeuroImage 19(4): 1716-1729 (2003) - [j26]Lars Schwabe, Klaus Obermayer:
Modeling the adaptive visual system: a survey of principled approaches. Neural Networks 16(9): 1353-1371 (2003) - [j25]Sambu Seo, Mathias Bode, Klaus Obermayer:
Soft nearest prototype classification. IEEE Trans. Neural Networks 14(2): 390-398 (2003) - [c45]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 - [c44]Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen, Klaus Obermayer:
Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression. NIPS 2003: 717-724 - [e1]Suzanna Becker, Sebastian Thrun, Klaus Obermayer:
Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, NIPS 2002, December 9-14, 2002, Vancouver, British Columbia, Canada]. MIT Press 2003, ISBN 0-262-02550-7 [contents] - 2002
- [j24]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) - [j23]Hauke Bartsch, Klaus Obermayer:
A structure preserving image transformation as the goal of visual sensory coding. Neurocomputing 44-46: 729-734 (2002) - [j22]Nigel M. Allinson, Hujun Yin, Klaus Obermayer:
Introduction: new developments in self-organising maps. Neural Networks 15(8-9): 943- (2002) - [j21]Anca Dima, Michael Scholz, Klaus Obermayer:
Automatic segmentation and skeletonization of neurons from confocal microscopy images based on the 3-D wavelet transform. IEEE Trans. Image Process. 11(7): 790-801 (2002) - [c43]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 - [c42]Sepp Hochreiter, Michael Mozer, Klaus Obermayer:
Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems. NIPS 2002: 545-552 - [c41]Sepp Hochreiter, Klaus Obermayer:
Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers. NIPS 2002: 889-896 - [c40]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 - 2001
- [j20]Lars Schwabe, Péter Adorján, Klaus Obermayer:
Spike-frequency adaptation as a mechanism for dynamic coding in V1. Neurocomputing 38-40: 351-358 (2001) - [j19]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) - [c39]Roland Vollgraf, Ingo Schießl, Klaus Obermayer:
Blind Source Separation of Single Components from Linear Mixtures. ICANN 2001: 509-514 - [c38]Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess:
3D edge detection to define landmarks for point-based warping in brain imaging. ICIP (2) 2001: 343-346 - [c37]Immanuel Normann, Hendrik Purwins, Klaus Obermayer:
Spectrum of Pitch Differences Models the Perception of Octave Ambiguous Tones. ICMC 2001 - [c36]Hendrik Purwins, Benjamin Blankertz, Klaus Obermayer:
Constant Q Profiles for Tracking Modulations in Audio Data Format. ICMC 2001 - [c35]Hyoung-Gook Kim, Klaus Obermayer, Mathias Bode, Dietmar Ruwisch:
Efficient speech enhancement by diffusive gain factors (DGF). INTERSPEECH 2001: 1867-1870 - [c34]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 - [c33]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 - [c32]Gregor Wenning, Klaus Obermayer:
Activity Driven Adaptive Stochastic Resonance. NIPS 2001: 301-308 - [c31]Roland Vollgraf, Klaus Obermayer:
Multi Dimensional ICA to Separate Correlated Sources. NIPS 2001: 993-1000 - 2000
- [j18]Martin Stetter, Hauke Bartsch, Klaus Obermayer:
A mean-field model for orientation tuning, contrast saturation, and contextual effects in the primary visual cortex. Biol. Cybern. 82(4): 291-304 (2000) - [j17]Christian Piepenbrock, Klaus Obermayer:
The effect of intracortical competition on the formation of topographic maps in models of Hebbian learning. Biol. Cybern. 82(4): 345-353 (2000) - [j16]Hauke Bartsch, Martin Stetter, Klaus Obermayer:
The influence of threshold variability on the response of visual cortical neurons. Neurocomputing 32-33: 37-43 (2000) - [j15]T. Müller, Martin Stetter, Mark Hübener, Frank Sengpiel, Tobias Bonhoeffer, I. Gödecke, Barbara Chapman, Siegrid Löwel, Klaus Obermayer:
An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets. Neural Comput. 12(11): 2573-2595 (2000) - [j14]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. Eng. 47(5): 573-577 (2000) - [c30]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 - [c29]Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer:
Gaussian Process Regression: Active Data Selection and Test Point Rejection. DAGM-Symposium 2000: 27-34 - [c28]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 - [c27]Sambu Seo, Marko Wallat, Thore Graepel, Klaus Obermayer:
Gaussian Process Regression: Active Data Selection and Test Point Rejection. IJCNN (3) 2000: 241-246 - [c26]Hendrik Purwins, Benjamin Blankertz, Klaus Obermayer:
A New Method for Tracking Modulations in Tonal Music in Audio Data Format. IJCNN (6) 2000: 270-278 - [c25]Lars Schwabe, Péter Adorján, Klaus Obermayer:
A Dynamic Cortical Amplifier Model for Fast Information Processing. IJCNN (5) 2000: 431-435 - [c24]Cornelius Weber, Klaus Obermayer:
Structured Models from Structured Data: Emergence of Modular Information Processing within One Sheet of Neurons. IJCNN (4) 2000: 608-613 - [c23]Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess:
Point-based warping with optimized weighting factors of displacement vectors. Image Processing 2000 - [c22]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
1990 – 1999
- 1999
- [j13]Péter Adorján, György Barna, Péter Érdi, Klaus Obermayer:
A statistical neural field approach to orientation selectivity. Neurocomputing 26-27: 313-318 (1999) - [j12]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) - [j11]Thore Graepel, Klaus Obermayer:
A Stochastic Self-Organizing Map for Proximity Data. Neural Comput. 11(1): 139-155 (1999) - [c21]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 - [c20]Péter Adorján, Lars Schwabe, Christian Piepenbrock, Klaus Obermayer:
Recurrent Cortical Competition: Strengthen or Weaken? NIPS 1999: 89-95 - [c19]Thore Graepel, Ralf Herbrich, Klaus Obermayer:
Bayesian Transduction. NIPS 1999: 456-462 - [c18]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 - 1998
- [j10]Thore Graepel, Matthias Burger, Klaus Obermayer:
Self-organizing maps: Generalizations and new optimization techniques. Neurocomputing 21(1-3): 173-190 (1998) - [c17]Martin Stetter, Péter Adorján, Hauke Bartsch, Klaus Obermayer:
Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex. ICONIP 1998: 669-672 - [c16]Péter Érdi, Ádám Kepecs, Máté Lengyel, Klaus Obermayer, Zoltán Szatmáry:
Dynamics of the Hippocampus: Multiple Strategies. ICONIP 1998: 777-780 - [c15]Péter Adorján, Klaus Obermayer:
Contrast Adaptation in Simple Cells by Changing the Transmitter Release Probability. NIPS 1998: 76-82 - [c14]Christian Piepenbrock, Klaus Obermayer:
The Role of Lateral Cortical Competition in Ocular Dominance Development. NIPS 1998: 139-145 - [c13]Thore Graepel, Ralf Herbrich, Peter Bollmann-Sdorra, Klaus Obermayer:
Classification on Pairwise Proximity Data. NIPS 1998: 438-444 - 1997
- [j9]Klaus Obermayer, Gary G. Blasdel:
Singularities in Primate Orientation Maps. Neural Comput. 9(3): 555-575 (1997) - [j8]Christian Piepenbrock, Helge J. Ritter, Klaus Obermayer:
The Joint Development of Orientation and Ocular Dominance: Role of Constraints. Neural Comput. 9(5): 959-970 (1997) - [c12]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 - [c11]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 - [c10]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 - [c9]Hauke Bartsch, Martin Stetter, Klaus Obermayer:
A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields. ICANN 1997: 237-242 - [c8]Matthias Burger, Thore Graepel, Klaus Obermayer:
Phase Transitions in Soft Topographic Vector Quantization. ICANN 1997: 619-624 - [c7]Matthias Burger, Thore Graepel, Klaus Obermayer:
An Annealed Self-Organizing Map for Source Channel Coding. NIPS 1997: 430-436 - 1996
- [j7]Christian Piepenbrock, Helge J. Ritter, Klaus Obermayer:
Linear Correlation-Based Learning Models Require a Two-Stage Process for the Development of Orientation and Ocular Dominance. Neural Process. Lett. 3(1): 31-37 (1996) - [c6]Christian Piepenbrock, Helge J. Ritter, Klaus Obermayer:
Cortical Map Development Driven by Spontaneous Retinal Activity Waves. ICANN 1996: 427-432 - 1995
- [j6]E. Erwin, Klaus Obermayer, Klaus Schulten:
Models of orientation and ocular dominance columns in the visual cortex: a critical comparison. Neural Comput. 7(3): 425-468 (1995) - 1994
- [j5]Gary G. Blasdel, Klaus Obermayer:
Putative strategies of scene segmentation in monkey visual cortex. Neural Networks 7(6-7): 865-881 (1994) - [c5]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 - 1993
- [b1]Klaus Obermayer:
Adaptive Neuronale Netze und ihre Anwendung als Modelle der Entwicklung kortikaler Karten. Technical University Munich, Germany, DISKI 24, Infix Verlag, St. Augustin, Germany 1993, ISBN 3-929037-24-6, pp. 1-164 - [j4]E. Erwin, Klaus Obermayer, Klaus Schulten:
Erratum. Biol. Cybern. 68(3): 285 (1993) - [c4]Klaus Obermayer, Lynne Kiorpes, Gary G. Blasdel:
Development of Orientation and Ocular Dominance Columns in Infant Macaques. NIPS 1993: 543-550 - 1992
- [j3]E. Erwin, Klaus Obermayer, Klaus Schulten:
Self-organizing maps: stationary states, metastability and convergence rate. Biol. Cybern. 67(1): 35-45 (1992) - [j2]E. Erwin, Klaus Obermayer, Klaus Schulten:
Self-organizing maps: ordering, convergence properties and energy functions. Biol. Cybern. 67(1): 47-55 (1992) - 1991
- [c3]Klaus Obermayer, Klaus Schulten, Gary G. Blasdel:
A Comparison between a Neural Network Model for the Formation of Brain Maps and Experimental Data. NIPS 1991: 83-90 - 1990
- [j1]Klaus Obermayer, Helge J. Ritter, Klaus Schulten:
Large-scale simulations of self-organizing neural networks on parallel computers: application to biological modelling. Parallel Comput. 14(3): 381-404 (1990) - [c2]Klaus Obermayer, Helge J. Ritter, Klaus Schulten:
A neural network model for the formation of topographic maps in the CNS: development of receptive fields. IJCNN 1990: 423-429 - [c1]Klaus Obermayer, Helge J. Ritter, Klaus Schulten:
Development and Spatial Structure of Cortical Feature Maps: A Model Study. NIPS 1990: 11-17
Coauthor Index
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