| Year |
Citation |
Score |
| 2020 |
Koren V, Andrei AR, Hu M, Dragoi V, Obermayer K. Pairwise Synchrony and Correlations Depend on the Structure of the Population Code in Visual Cortex. Cell Reports. 33: 108367. PMID 33176154 DOI: 10.1016/j.celrep.2020.108367 |
0.76 |
|
| 2019 |
Koren V, Andrei AR, Hu M, Dragoi V, Obermayer K. Reading-out task variables as a low-dimensional reconstruction of neural spike trains in single trials. Plos One. 14: e0222649. PMID 31622346 DOI: 10.1371/journal.pone.0222649 |
0.76 |
|
| 2018 |
Seo S, Beck A, Matthis C, Genauck A, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Flor H, Frouin V, Garavan H, Gowland P, Ittermann B, Martinot JL, ... ... Obermayer K, et al. Risk profiles for heavy drinking in adolescence: differential effects of gender. Addiction Biology. PMID 29847018 DOI: 10.1111/adb.12636 |
0.52 |
|
| 2017 |
Beylergil SB, Beck A, Deserno L, Lorenz RC, Rapp MA, Schlagenhauf F, Heinz A, Obermayer K. Dorsolateral prefrontal cortex contributes to the impaired behavioral adaptation in alcohol dependence. Neuroimage. Clinical. 15: 80-94. PMID 28491495 DOI: 10.1016/j.nicl.2017.04.010 |
0.52 |
|
| 2016 |
Huys QJM, Deserno L, Obermayer K, Schlagenhauf F, Heinz A. Model-Free Temporal-Difference Learning and Dopamine in Alcohol Dependence: Examining Concepts From Theory and Animals in Human Imaging. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging. 1: 401-410. PMID 29560869 DOI: 10.1016/j.bpsc.2016.06.005 |
0.52 |
|
| 2016 |
Xie S, Liu C, Obermayer K, Zhu F, Wang L, Xie X, Wang W. Stimulator Selection in SSVEP-Based Spatial Selective Attention Study. Computational Intelligence and Neuroscience. 2016: 6410718. PMID 28044073 DOI: 10.1155/2016/6410718 |
0.36 |
|
| 2016 |
Mohr J, Seyfarth J, Lueschow A, Weber JE, Wichmann FA, Obermayer K. BOiS-Berlin Object in Scene Database: Controlled Photographic Images for Visual Search Experiments with Quantified Contextual Priors. Frontiers in Psychology. 7: 749. PMID 27242646 DOI: 10.3389/fpsyg.2016.00749 |
0.52 |
|
| 2016 |
Tobia MJ, Guo R, Gläscher J, Schwarze U, Brassen S, Büchel C, Obermayer K, Sommer T. Altered behavioral and neural responsiveness to counterfactual gains in the elderly. Cognitive, Affective & Behavioral Neuroscience. PMID 26864879 DOI: 10.3758/s13415-016-0406-7 |
0.68 |
|
| 2015 |
Seo S, Mohr J, Beck A, Wüstenberg T, Heinz A, Obermayer K. Predicting the future relapse of alcohol-dependent patients from structural and functional brain images. Addiction Biology. PMID 26435383 DOI: 10.1111/adb.12302 |
0.68 |
|
| 2015 |
Franke F, Pröpper R, Alle H, Meier P, Geiger JR, Obermayer K, Munk MH. Spike sorting of synchronous spikes from local neuron ensembles. Journal of Neurophysiology. 114: 2535-49. PMID 26289473 DOI: 10.1152/jn.00993.2014 |
0.68 |
|
| 2015 |
Kneer F, Obermayer K, Dahlem MA. Analyzing critical propagation in a reaction-diffusion-advection model using unstable slow waves. The European Physical Journal. E, Soft Matter. 38: 95. PMID 25704900 DOI: 10.1140/epje/i2015-15010-y |
0.68 |
|
| 2015 |
Franke F, Quian Quiroga R, Hierlemann A, Obermayer K. Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering. Journal of Computational Neuroscience. 38: 439-59. PMID 25652689 DOI: 10.1007/s10827-015-0547-7 |
0.68 |
|
| 2015 |
Guggenmos M, Rothkirch M, Obermayer K, Haynes JD, Sterzer P. A hippocampal signature of perceptual learning in object recognition. Journal of Cognitive Neuroscience. 27: 787-97. PMID 25269115 DOI: 10.1162/jocn_a_00735 |
0.68 |
|
| 2015 |
Seo S, Mohr J, Li N, Horn A, Obermayer K. Incremental pairwise clustering for large proximity matrices Proceedings of the International Joint Conference On Neural Networks. 2015. DOI: 10.1109/IJCNN.2015.7280637 |
0.68 |
|
| 2014 |
Mohr J, Park JH, Obermayer K. A computer vision system for rapid search inspired by surface-based attention mechanisms from human perception. Neural Networks : the Official Journal of the International Neural Network Society. 60: 182-93. PMID 25241349 DOI: 10.1016/j.neunet.2014.08.010 |
0.68 |
|
| 2014 |
Shen Y, Tobia MJ, Sommer T, Obermayer K. Risk-sensitive reinforcement learning. Neural Computation. 26: 1298-328. PMID 24708369 DOI: 10.1162/NECO_a_00600 |
0.68 |
|
| 2014 |
Tobia MJ, Guo R, Schwarze U, Boehmer W, Gläscher J, Finckh B, Marschner A, Büchel C, Obermayer K, Sommer T. Neural systems for choice and valuation with counterfactual learning signals. Neuroimage. 89: 57-69. PMID 24321554 DOI: 10.1016/j.neuroimage.2013.11.051 |
0.68 |
|
| 2014 |
Ladenbauer J, Augustin M, Obermayer K. How adaptation currents change threshold, gain, and variability of neuronal spiking. Journal of Neurophysiology. 111: 939-53. PMID 24174646 DOI: 10.1152/jn.00586.2013 |
0.68 |
|
| 2014 |
Mohr J, Seo S, Obermayer K. A classifier-based association test for imbalanced data derived from prediction theory Proceedings of the International Joint Conference On Neural Networks. 487-493. DOI: 10.1109/IJCNN.2014.6889547 |
0.68 |
|
| 2014 |
Shen Y, Huang R, Yan C, Obermayer K. Risk-averse reinforcement learning for algorithmic trading Ieee/Iafe Conference On Computational Intelligence For Financial Engineering, Proceedings (Cifer). 391-398. DOI: 10.1109/CIFEr.2014.6924100 |
0.68 |
|
| 2014 |
Shen Y, Stannat W, Obermayer K. A unified framework for risk-sensitive Markov control processes Proceedings of the Ieee Conference On Decision and Control. 2015: 1073-1078. DOI: 10.1109/CDC.2014.7039524 |
0.68 |
|
| 2013 |
Spanagel R, Durstewitz D, Hansson A, Heinz A, Kiefer F, Köhr G, Matthäus F, Nöthen MM, Noori HR, Obermayer K, Rietschel M, Schloss P, Scholz H, Schumann G, Smolka M, et al. A systems medicine research approach for studying alcohol addiction. Addiction Biology. 18: 883-96. PMID 24283978 DOI: 10.1111/adb.12109 |
0.68 |
|
| 2013 |
Ladenbauer J, Lehnert J, Rankoohi H, Dahms T, Schöll E, Obermayer K. Adaptation controls synchrony and cluster states of coupled threshold-model neurons. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 88: 042713. PMID 24229219 DOI: 10.1103/PhysRevE.88.042713 |
0.68 |
|
| 2013 |
Schmidt S, Scholz M, Obermayer K, Brandt SA. Patterned Brain Stimulation, What a Framework with Rhythmic and Noisy Components Might Tell Us about Recovery Maximization. Frontiers in Human Neuroscience. 7: 325. PMID 23825456 DOI: 10.3389/fnhum.2013.00325 |
0.68 |
|
| 2013 |
Augustin M, Ladenbauer J, Obermayer K. How adaptation shapes spike rate oscillations in recurrent neuronal networks. Frontiers in Computational Neuroscience. 7: 9. PMID 23450654 DOI: 10.3389/fncom.2013.00009 |
0.68 |
|
| 2013 |
Houillon A, Lorenz RC, Boehmer W, Rapp MA, Heinz A, Gallinat J, Obermayer K. The effect of novelty on reinforcement learning. Progress in Brain Research. 202: 415-39. PMID 23317843 DOI: 10.1016/B978-0-444-62604-2.00021-6 |
0.68 |
|
| 2013 |
Shen Y, Stannat W, Obermayer K. Risk-sensitive Markov control processes Siam Journal On Control and Optimization. 51: 3652-3672. DOI: 10.1137/120899005 |
0.68 |
|
| 2013 |
Xie S, Zhu F, Obermayer K, Ritter P, Wang L. A spatial selective visual attention pattern recognition method based on joint short SSVEP Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6706872 |
0.68 |
|
| 2013 |
Böhmer W, Grünewälder S, Shen Y, Musial M, Obermayer K. Construction of approximation spaces for reinforcement learning Journal of Machine Learning Research. 14: 2067-2118. |
0.68 |
|
| 2012 |
Onken A, Dragoi V, Obermayer K. A maximum entropy test for evaluating higher-order correlations in spike counts. Plos Computational Biology. 8: e1002539. PMID 22685392 DOI: 10.1371/journal.pcbi.1002539 |
0.68 |
|
| 2012 |
Ladenbauer J, Augustin M, Shiau L, Obermayer K. Impact of adaptation currents on synchronization of coupled exponential integrate-and-fire neurons. Plos Computational Biology. 8: e1002478. PMID 22511861 DOI: 10.1371/journal.pcbi.1002478 |
0.68 |
|
| 2012 |
Adiloǧlu K, Anniés R, Wahlen E, Purwins H, Obermayer K. A graphical representation and dissimilarity measure for basic everyday sound events Ieee Transactions On Audio, Speech and Language Processing. 20: 1542-1552. DOI: 10.1109/TASL.2012.2184752 |
0.68 |
|
| 2012 |
Seo S, Mohr J, Heekeren H, Heinz A, Eppinger B, Li SC, Obermayer K. A voxel selection method for the multivariate analysis of imaging genetics data Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2012.6252766 |
0.68 |
|
| 2012 |
Böhmer W, Grünewälder S, Nickisch H, Obermayer K. Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis Machine Learning. 89: 67-86. DOI: 10.1007/s10994-012-5300-0 |
0.68 |
|
| 2012 |
Obermayer K. Editorial: Computational neuroscience and modeling of diseases: Do we need new paradigms? Basic and Clinical Neuroscience. 3: 3-4. |
0.68 |
|
| 2011 |
Hoch T, Volgushev S, Malyshev A, Obermayer K, Volgushev M. Modulation of the amplitude of γ-band activity by stimulus phase enhances signal encoding. The European Journal of Neuroscience. 33: 1223-39. PMID 21375595 DOI: 10.1111/j.1460-9568.2011.07593.x |
0.68 |
|
| 2011 |
Natora M, Obermayer K. An unsupervised and drift-adaptive spike detection algorithm based on hybrid blind beamforming Eurasip Journal On Advances in Signal Processing. 2011. DOI: 10.1155/2011/696741 |
0.68 |
|
| 2011 |
Neubauer N, Obermayer K. Tripartite community structure in social bookmarking data New Review of Hypermedia and Multimedia. 17: 267-294. DOI: 10.1080/13614568.2011.598952 |
0.68 |
|
| 2011 |
Jain BJ, Obermayer K. Graph quantization Computer Vision and Image Understanding. 115: 946-961. DOI: 10.1016/j.cviu.2011.03.004 |
0.68 |
|
| 2011 |
Grünewälder S, Obermayer K. The optimal unbiased value estimator and its relation to LSTD, TD and MC Machine Learning. 83: 289-330. DOI: 10.1007/s10994-010-5220-9 |
0.68 |
|
| 2011 |
Böhmer W, Grünewälder S, Nickisch H, Obermayer K. Regularized sparse kernel slow feature analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6911: 235-248. DOI: 10.1007/978-3-642-23780-5_25 |
0.68 |
|
| 2011 |
Jain BJ, Obermayer K. Maximum likelihood for gaussians on graphs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6658: 62-71. DOI: 10.1007/978-3-642-20844-7_7 |
0.68 |
|
| 2011 |
Jain BJ, Obermayer K. Generalized learning graph quantization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6658: 122-131. DOI: 10.1007/978-3-642-20844-7_13 |
0.68 |
|
| 2010 |
Natora M, Franke F, Obermayer K. Spike detection in extracellular recordings by hybrid blind beamforming. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2010: 4636-41. PMID 21096235 DOI: 10.1109/IEMBS.2010.5626483 |
0.68 |
|
| 2010 |
Franke F, Natora M, Meier P, Hagen E, Pettersen KH, Linden H, Einevoll GT, Obermayer K. An automated online positioning system and simulation environment for multi-electrodes in extracellular recordings. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2010: 593-7. PMID 21096103 DOI: 10.1109/IEMBS.2010.5626631 |
0.68 |
|
| 2010 |
Mohr J, Jain B, Sutter A, Laak AT, Steger-Hartmann T, Heinrich N, Obermayer K. A maximum common subgraph kernel method for predicting the chromosome aberration test. Journal of Chemical Information and Modeling. 50: 1821-38. PMID 20883013 DOI: 10.1021/ci900367j |
0.68 |
|
| 2010 |
Franke F, Natora M, Boucsein C, Munk MH, Obermayer K. An online spike detection and spike classification algorithm capable of instantaneous resolution of overlapping spikes. Journal of Computational Neuroscience. 29: 127-48. PMID 19499318 DOI: 10.1007/s10827-009-0163-5 |
0.68 |
|
| 2010 |
Natora M, Franke F, Broda SA, Obermayer K. Optimal steering vector adaptation for linear filters leading to robust beamforming Final Program and Abstract Book - 4th International Symposium On Communications, Control, and Signal Processing, Isccsp 2010. DOI: 10.1109/ISCCSP.2010.5463496 |
0.68 |
|
| 2010 |
Jain B, Obermayer K. Consistent estimators of median and mean graph Proceedings - International Conference On Pattern Recognition. 1032-1035. DOI: 10.1109/ICPR.2010.258 |
0.68 |
|
| 2010 |
Martin R, Stimberg M, Wimmer K, Obermayer K. On the operating point of cortical computation Journal of Physics: Conference Series. 233. DOI: 10.1088/1742-6596/233/1/012020 |
0.68 |
|
| 2010 |
Jain BJ, Obermayer K. Elkan's k-means algorithm for graphs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6438: 22-32. DOI: 10.1007/978-3-642-16773-7_2 |
0.68 |
|
| 2010 |
Jain BJ, Obermayer K. Large sample statistics in the domain of graphs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6218: 690-697. DOI: 10.1007/978-3-642-14980-1_68 |
0.68 |
|
| 2010 |
Jain BJ, Srinivasan SD, Tissen A, Obermayer K. Learning graph quantization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6218: 109-118. DOI: 10.1007/978-3-642-14980-1_10 |
0.68 |
|
| 2010 |
Pannicke D, Hahne M, Neubauer N, Ochab B, Lieb R, Meister M, Obermayer K, Rammert W, Zarnekow R. Acceptability of tagging systems in user-generated virtual worlds | Akzeptanzfähigkeit von Tagging-Systemen in benutzergenerierten virtuellen Welten Mkwi 2010 - Multikonferenz Wirtschaftsinformatik 2010. 239-240. |
0.68 |
|
| 2009 |
Onken A, Grünewälder S, Munk MH, Obermayer K. Analyzing short-term noise dependencies of spike-counts in macaque prefrontal cortex using copulas and the flashlight transformation. Plos Computational Biology. 5: e1000577. PMID 19956759 DOI: 10.1371/journal.pcbi.1000577 |
0.68 |
|
| 2009 |
Heinz A, Beck A, Wrase J, Mohr J, Obermayer K, Gallinat J, Puls I. Neurotransmitter systems in alcohol dependence. Pharmacopsychiatry. 42: S95-S101. PMID 19434561 DOI: 10.1055/s-0029-1214395 |
0.68 |
|
| 2009 |
Puls I, Mohr J, Wrase J, Vollstädt-Klein S, Leménager T, Vollmert C, Rapp M, Obermayer K, Heinz A, Smolka MN. A model comparison of COMT effects on central processing of affective stimuli. Neuroimage. 46: 683-91. PMID 19268548 DOI: 10.1016/j.neuroimage.2009.02.033 |
0.68 |
|
| 2009 |
Stimberg M, Wimmer K, Martin R, Schwabe L, Mariño J, Schummers J, Lyon DC, Sur M, Obermayer K. The operating regime of local computations in primary visual cortex. Cerebral Cortex (New York, N.Y. : 1991). 19: 2166-80. PMID 19221143 DOI: 10.1093/cercor/bhn240 |
0.68 |
|
| 2009 |
Neubauer N, Obermayer K. Hyperincident connected components of tagging networks Proceedings of the 20th Acm Conference On Hypertext and Hypermedia, Ht'09. 229-238. DOI: 10.1145/1557914.1557954 |
0.68 |
|
| 2009 |
Neubauer N, Wetzker R, Obermayer K. Tag spam creates large non-giant connected components Acm International Conference Proceeding Series. 49-52. DOI: 10.1145/1531914.1531925 |
0.68 |
|
| 2009 |
Aymerich IF, Piera J, Mohr J, Soria-Frisch A, Obermayer K. Fast phytoplankton classification from fluorescence spectra: Comparison between PSVM and SOM Oceans '09 Ieee Bremen: Balancing Technology With Future Needs. DOI: 10.1109/OCEANSE.2009.5278259 |
0.68 |
|
| 2009 |
Jain BJ, Stehr H, Lappe M, Obermayer K. Multiple alignment of contact maps Proceedings of the International Joint Conference On Neural Networks. 1401-1406. DOI: 10.1109/IJCNN.2009.5178907 |
0.68 |
|
| 2009 |
Jain BJ, Obermayer K. Bimal: Bipartite matching alignment for the contact map overlap problem Proceedings of the International Joint Conference On Neural Networks. 1394-1400. DOI: 10.1109/IJCNN.2009.5178901 |
0.68 |
|
| 2009 |
Seo S, Mohr J, Obermayer K. A new incremental pairwise clustering algorithm 8th International Conference On Machine Learning and Applications, Icmla 2009. 223-228. DOI: 10.1109/ICMLA.2009.42 |
0.68 |
|
| 2009 |
Onken A, Obermayer K. A Frank mixture copula family for modeling higher-order correlations of neural spike counts Journal of Physics: Conference Series. 197. DOI: 10.1088/1742-6596/197/1/012019 |
0.68 |
|
| 2009 |
Adiloĝlu K, Obermayer K. Topological features of the two-voice inventions Communications in Computer and Information Science. 37: 67-77. DOI: 10.1007/978-3-642-04579-0_7 |
0.68 |
|
| 2009 |
Jain BJ, Obermayer K. Algorithms for the sample mean of graphs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5702: 351-359. DOI: 10.1007/978-3-642-03767-2_43 |
0.68 |
|
| 2009 |
Natora M, Franke F, Munk M, Obermayer K. Blind source separation of sparse overcomplete mixtures and application to neural recordings Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5441: 459-466. DOI: 10.1007/978-3-642-00599-2_58 |
0.68 |
|
| 2009 |
Onken A, Grünewälder S, Munk M, Obermayer K. Modeling short-term noise dependence of spike counts in macaque prefrontal cortex Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1233-1240. |
0.68 |
|
| 2009 |
Jain BJ, Obermayer K. Structure spaces Journal of Machine Learning Research. 10: 2667-2714. |
0.68 |
|
| 2009 |
Murfi H, Obermayer K. A two-level learning hierarchy of concept based keyword extraction for tag recommendations Ceur Workshop Proceedings. 497: 201-214. |
0.68 |
|
| 2009 |
Onken A, Grünewälder S, Obermayer K. Correlation coefficients are insufficient for analyzing spike count dependencies Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1383-1391. |
0.68 |
|
| 2009 |
Wimmer K, Stimberg M, Martin R, Schwabe L, Mariño J, Schummers J, Lyon DC, Sur M, Obermayer K. Dependence of orientation tuning on recurrent excitation and inhibition in a network model of V1 Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1769-1776. |
0.68 |
|
| 2009 |
Drioli C, Polotti P, Rocchesso D, Monache SD, Adiloǧlu K, Anniés R, Obermayer K. Auditory representations as landmarks in the sound design space Proceedings of the 6th Sound and Music Computing Conference, Smc 2009. 315-320. |
0.68 |
|
| 2008 |
Wimmer K, Hildebrandt KJ, Hennig RM, Obermayer K. Adaptation and selective information transmission in the cricket auditory neuron AN2. Plos Computational Biology. 4: e1000182. PMID 18818723 DOI: 10.1371/journal.pcbi.1000182 |
0.68 |
|
| 2008 |
Mohr JA, Jain BJ, Obermayer K. Molecule kernels: a descriptor- and alignment-free quantitative structure-activity relationship approach. Journal of Chemical Information and Modeling. 48: 1868-81. PMID 18767832 DOI: 10.1021/ci800144y |
0.68 |
|
| 2008 |
Puls I, Mohr J, Wrase J, Priller J, Behr J, Kitzrow W, Makris N, Breiter HC, Obermayer K, Heinz A. Synergistic effects of the dopaminergic and glutamatergic system on hippocampal volume in alcohol-dependent patients. Biological Psychology. 79: 126-36. PMID 18423838 DOI: 10.1016/j.biopsycho.2008.03.001 |
0.68 |
|
| 2008 |
Knebel T, Hochreiter S, Obermayer K. An SMO algorithm for the potential support vector machine. Neural Computation. 20: 271-87. PMID 18045009 DOI: 10.1162/neco.2008.20.1.271 |
0.68 |
|
| 2008 |
Jain B, Obermayer K. On the sample mean of graphs Proceedings of the International Joint Conference On Neural Networks. 993-1000. DOI: 10.1109/IJCNN.2008.4633920 |
0.68 |
|
| 2008 |
Mohr J, Seo S, Obermayer K. Automated microarray classification based on P-SVM gene selection Proceedings - 7th International Conference On Machine Learning and Applications, Icmla 2008. 503-507. DOI: 10.1109/ICMLA.2008.75 |
0.68 |
|
| 2008 |
Mohr J, Seo S, Puis I, Heinz A, Obermayer K. Target selection: A new learning paradigm and its application to genetic association studies Proceedings - 7th International Conference On Machine Learning and Applications, Icmla 2008. 182-187. DOI: 10.1109/ICMLA.2008.58 |
0.68 |
|
| 2008 |
Ochab B, Neubauer N, Obermayer K. Personalized recommendations for the Web 3D Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5149: 374-377. DOI: 10.1007/978-3-540-70987-9_57 |
0.68 |
|
| 2008 |
Schönknecht S, Duch C, Obermayer K, Sibila M. 3D reconstruction of neurons from confocal image stacks and visualization of computational modeling experiments Informatik Aktuell. 158-162. |
0.68 |
|
| 2008 |
Gaudnek MA, Hess A, Obermayer K, Sibila M. Adaptive threshold masking: An extended bias correction algorithm for heavily biased MR images Informatik Aktuell. 373-376. |
0.68 |
|
| 2008 |
Gaudnek MA, Hess A, Obermayer K, Sibila M. Measuring the reliability of geometries in magnet resonance angiography: A reference for multimodal image registration? Informatik Aktuell. 368-372. |
0.68 |
|
| 2008 |
Henrich FF, Obermayer K. Active learning by spherical subdivision Journal of Machine Learning Research. 9: 105-130. |
0.68 |
|
| 2008 |
Adiloʇlu K, Anniés R, Obermayer K, Visell Y, Drioli C. Adaptive bottle International Computer Music Conference, Icmc 2008. |
0.68 |
|
| 2007 |
Schummers J, Cronin B, Wimmer K, Stimberg M, Martin R, Obermayer K, Koerding K, Sur M. Dynamics of orientation tuning in cat v1 neurons depend on location within layers and orientation maps. Frontiers in Neuroscience. 1: 145-59. PMID 18982125 DOI: 10.3389/neuro.01.1.1.011.2007 |
0.6 |
|
| 2007 |
Young JM, Waleszczyk WJ, Wang C, Calford MB, Dreher B, Obermayer K. Cortical reorganization consistent with spike timing-but not correlation-dependent plasticity. Nature Neuroscience. 10: 887-95. PMID 17529985 DOI: 10.1038/nn1913 |
0.68 |
|
| 2007 |
Hochreiter S, Heusel M, Obermayer K. Fast model-based protein homology detection without alignment. Bioinformatics (Oxford, England). 23: 1728-36. PMID 17488755 DOI: 10.1093/bioinformatics/btm247 |
0.68 |
|
| 2007 |
Neubauer N, Scheel C, Albayrak S, Obermayer K. Distance measures in query space: How strongly to use feedback from past queries Proceedings of the Ieee/Wic/Acm International Conference On Web Intelligence, Wi 2007. 607-613. DOI: 10.1109/WI.2007.48 |
0.68 |
|
| 2007 |
Grünewälder S, Hochreiter S, Obermayer K. Optimality of LSTD and its relation to MC Ieee International Conference On Neural Networks - Conference Proceedings. 338-343. DOI: 10.1109/IJCNN.2007.4370979 |
0.68 |
|
| 2007 |
Gallinat J, Obermayer K, Heinz A. Systems neurobiology of the dysfunctional brain: Schizophrenia Pharmacopsychiatry. 40: S40-S44. DOI: 10.1055/s-2007-992811 |
0.68 |
|
| 2007 |
Stimberg M, Hoch T, Obermayer K. The effect of background noise on the precision of pulse packet propagation in feed-forward networks Neurocomputing. 70: 1824-1828. DOI: 10.1016/j.neucom.2006.10.057 |
0.68 |
|
| 2007 |
Hernandez EM, Adiloglu K, Annies R, Purwins H, Obermayer K. Perceptual representations for classification of everyday sounds Audio Mostly 2007 - 2nd Conference On Interaction With Sound, Conference Proceedings. 90-95. |
0.68 |
|
| 2006 |
Schwabe L, Obermayer K, Angelucci A, Bressloff PC. The role of feedback in shaping the extra-classical receptive field of cortical neurons: a recurrent network model. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 26: 9117-29. PMID 16957068 DOI: 10.1523/JNEUROSCI.1253-06.2006 |
0.68 |
|
| 2006 |
Hochreiter S, Obermayer K. Support vector machines for dyadic data. Neural Computation. 18: 1472-510. PMID 16764511 DOI: 10.1162/neco.2006.18.6.1472 |
0.68 |
|
| 2006 |
Schwetz I, Gruhler G, Obermayer K. A cross-spectrum weighting algorithm for speech enhancement and array processing: combining phase-shift information and stationary signal properties. The Journal of the Acoustical Society of America. 119: 952-64. PMID 16521757 DOI: 10.1121/1.2149767 |
0.68 |
|
| 2006 |
Hochreiter S, Clevert DA, Obermayer K. A new summarization method for Affymetrix probe level data. Bioinformatics (Oxford, England). 22: 943-9. PMID 16473874 DOI: 10.1093/bioinformatics/btl033 |
0.68 |
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| 2006 |
Vollgraf R, Obermayer K. Quadratic optimization for simultaneous matrix diagonalization Ieee Transactions On Signal Processing. 54: 3270-3278. DOI: 10.1109/TSP.2006.877673 |
0.68 |
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| 2006 |
Vollgraf R, Obermayer K. Improved optimal linear filters for the discrimination of multichannel waveform templates for spike-sorting applications Ieee Signal Processing Letters. 13: 121-124. DOI: 10.1109/LSP.2005.862621 |
0.68 |
|
| 2006 |
Adiloglu K, Noll T, Obermayer K. A paradigmatic approach to extract the melodic structure of a musical piece Journal of New Music Research. 35: 221-236. DOI: 10.1080/09298210601045633 |
0.68 |
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| 2006 |
Seo S, Obermayer K. Dynamic hyperparameter scaling method for LVQ algorithms Ieee International Conference On Neural Networks - Conference Proceedings. 3196-3203. |
0.68 |
|
| 2006 |
Mohr J, Puls I, Wrase J, Hochreiter S, Heinz A, Obermayer K. P-SVM variable selection for discovering dependencies between genetic and brain imaging data Ieee International Conference On Neural Networks - Conference Proceedings. 5020-5027. |
0.68 |
|
| 2006 |
Vollgraf R, Obermayer K. Sparse optimization for second order Kernel methods Ieee International Conference On Neural Networks - Conference Proceedings. 145-152. |
0.68 |
|
| 2006 |
Hochreiter S, Obermayer K. Nonlinear feature selection with the potential support vector machine Studies in Fuzziness and Soft Computing. 207: 419-438. |
0.68 |
|
| 2006 |
Adiloʇlu K, Obermayer K. Melodic topologies International Computer Music Conference, Icmc 2006. 111-114. |
0.68 |
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| 2005 |
Vollgraf R, Munk M, Obermayer K. Optimal filtering for spike sorting of multi-site electrode recordings. Network (Bristol, England). 16: 85-113. PMID 16350435 DOI: 10.1080/09548980500275378 |
0.68 |
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| 2005 |
Schwabe L, Obermayer K. Learning top-down gain control of feature selectivity in a recurrent network model of a visual cortical area. Vision Research. 45: 3202-9. PMID 16040079 DOI: 10.1016/j.visres.2005.05.028 |
0.68 |
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| 2005 |
Garg AR, Obermayer K, Bhaumik B. Development of feedforward receptive field structure of a simple cell and its contribution to the orientation selectivity: a modeling study. International Journal of Neural Systems. 15: 55-70. PMID 15912583 DOI: 10.1142/S0129065705000104 |
0.68 |
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| 2005 |
Schwabe L, Obermayer K. Adaptivity of tuning functions in a generic recurrent network model of a cortical hypercolumn. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 25: 3323-32. PMID 15800187 DOI: 10.1523/JNEUROSCI.4493-04.2005 |
0.68 |
|
| 2005 |
Wenning G, Hoch T, Obermayer K. Detection of pulses in a colored noise setting. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 71: 021902. PMID 15783347 DOI: 10.1103/PhysRevE.71.021902 |
0.68 |
|
| 2005 |
Beck O, Chistiakova M, Obermayer K, Volgushev M. Adaptation at synaptic connections to layer 2/3 pyramidal cells in rat visual cortex. Journal of Neurophysiology. 94: 363-76. PMID 15758049 DOI: 10.1152/jn.01287.2004 |
0.68 |
|
| 2005 |
Mariño J, Schummers J, Lyon DC, Schwabe L, Beck O, Wiesing P, Obermayer K, Sur M. Invariant computations in local cortical networks with balanced excitation and inhibition. Nature Neuroscience. 8: 194-201. PMID 15665876 DOI: 10.1038/nn1391 |
0.68 |
|
| 2005 |
Hochreiter S, Obermayer K. Optimal kernels for unsupervised learning Proceedings of the International Joint Conference On Neural Networks. 3: 1895-1899. DOI: 10.1109/IJCNN.2005.1556169 |
0.68 |
|
| 2005 |
Hochreiter S, Obermayer K. Optimal gradient-based learning using importance weights Proceedings of the International Joint Conference On Neural Networks. 1: 114-119. DOI: 10.1109/IJCNN.2005.1555815 |
0.68 |
|
| 2005 |
Gaudnek MA, Hess A, Obermayer K, Budinsky L, Brune K, Sibila M. Geometric reconstruction of the RAT vascular system imaged by MRA Proceedings - International Conference On Image Processing, Icip. 2: 1278-1281. DOI: 10.1109/ICIP.2005.1530296 |
0.68 |
|
| 2005 |
Hoch T, Wenning G, Obermayer K. The effect of correlations in the background activity on the information transmission properties of neural populations Neurocomputing. 65: 365-370. DOI: 10.1016/j.neucom.2004.10.030 |
0.68 |
|
| 2005 |
Klose CD, Seo S, Obermayer K. A new clustering approach for partitioning directional data International Journal of Rock Mechanics and Mining Sciences. 42: 315-321. DOI: 10.1016/j.ijrmms.2004.08.011 |
0.68 |
|
| 2005 |
Gaudnek MA, Hess A, Obermayer K, Budinsky L, Brune K, Sibila M. Geometric reconstruction of the vascular system of the rat brain imaged by MRA Informatik Aktuell. 178-182. DOI: 10.1007/3-540-26431-0_37 |
0.68 |
|
| 2005 |
Adiloʇlu K, Obermayer K. Finding subsequences of melodies in musical pieces International Computer Music Conference, Icmc 2005. |
0.68 |
|
| 2005 |
Mohr J, Obermayer K. A topographic support vector machine: Classification using local label configurations Advances in Neural Information Processing Systems. |
0.68 |
|
| 2004 |
Schmitt S, Evers JF, Duch C, Scholz M, Obermayer K. New methods for the computer-assisted 3-D reconstruction of neurons from confocal image stacks. Neuroimage. 23: 1283-98. PMID 15589093 DOI: 10.1016/j.neuroimage.2004.06.047 |
0.68 |
|
| 2004 |
Seo S, Obermayer K. Self-organizing maps and clustering methods for matrix data. Neural Networks : the Official Journal of the International Neural Network Society. 17: 1211-29. PMID 15555862 DOI: 10.1016/j.neunet.2004.06.012 |
0.68 |
|
| 2004 |
Mohr J, Hess A, Scholz M, Obermayer K. A method for the automatic segmentation of autoradiographic image stacks and spatial normalization of functional cortical activity patterns. Journal of Neuroscience Methods. 134: 45-58. PMID 15102502 DOI: 10.1016/j.jneumeth.2003.10.015 |
0.68 |
|
| 2004 |
Schwetz I, Gruhler G, Obermayer K. Correlation and stationarity of speech radiation: Consequences for linear multichannel filtering Ieee Transactions On Speech and Audio Processing. 12: 460-467. DOI: 10.1109/TSA.2004.832978 |
0.68 |
|
| 2004 |
Kanev J, Wenning G, Obermayer K. Approximating the response-stimulus correlation for the integrate-and-fire neuron Neurocomputing. 58: 47-52. DOI: 10.1016/j.neucom.2004.01.021 |
0.68 |
|
| 2004 |
Garg AR, Bhaumik B, Obermayer K. Development of a simple cell receptive field structure: A model based on hetero-synaptic interactions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3316: 64-69. |
0.68 |
|
| 2004 |
Garg AR, Bhaumik B, Obermayer K. The balance between excitation and inhibition not only leads to variable discharge of cortical neurons but also to contrast invariant orientation tuning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3316: 90-95. |
0.68 |
|
| 2004 |
Vollgraf R, Scholz M, Meinertzhagen IA, Obermayer K. Nonlinear filtering of electron micrographs by means of support vector regression Advances in Neural Information Processing Systems. |
0.68 |
|
| 2003 |
Seo S, Bode M, Obermayer K. Soft nearest prototype classification. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 14: 390-8. PMID 18238021 DOI: 10.1109/TNN.2003.809407 |
0.68 |
|
| 2003 |
Schwabe L, Obermayer K. Modeling the adaptive visual system: a survey of principled approaches. Neural Networks : the Official Journal of the International Neural Network Society. 16: 1353-71. PMID 14622889 DOI: 10.1016/j.neunet.2003.07.009 |
0.68 |
|
| 2003 |
Pielot R, Scholz M, Obermayer K, Scheich H, Gundelfinger ED, Hess A. A new point-based warping method for enhanced and simplified analysis of functional brain image data. Neuroimage. 19: 1716-29. PMID 12948726 DOI: 10.1016/S1053-8119(03)00234-9 |
0.68 |
|
| 2003 |
Hoch T, Wenning G, Obermayer K. Optimal noise-aided signal transmission through populations of neurons. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 68: 011911. PMID 12935180 |
0.68 |
|
| 2003 |
Seo S, Obermayer K. Soft learning vector quantization. Neural Computation. 15: 1589-604. PMID 12816567 DOI: 10.1162/089976603321891819 |
0.68 |
|
| 2003 |
Wenning G, Obermayer K. Activity driven adaptive stochastic resonance. Physical Review Letters. 90: 120602. PMID 12688861 |
0.68 |
|
| 2003 |
Dima A, Scholz M, Obermayer K. Automatic three-dimensional graph construction of nerve cells from confocal microscopy scans Journal of Electronic Imaging. 12: 134-150. DOI: 10.1117/1.1526102 |
0.68 |
|
| 2003 |
Bartsch H, Obermayer K. Second-order statistics of natural images Neurocomputing. 52: 467-472. DOI: 10.1016/S0925-2312(02)00734-8 |
0.68 |
|
| 2003 |
Mohr J, Hess A, Scholz M, Obermayer K. Segmentation of 2 1/2 D brain image stacks with automatic extraction and visualization of functional information Ieee International Conference On Image Processing. 2: 1089-1092. |
0.68 |
|
| 2003 |
Hoch T, Wenning G, Obermayer K. Adaptation using local information for maximizing the global cost Neurocomputing. 52: 541-546. |
0.68 |
|
| 2003 |
Hochreiter S, Obermayer K. Feature selection and classification on matrix data: From large margins to small covering numbers Advances in Neural Information Processing Systems. |
0.68 |
|
| 2003 |
Hochreiter S, Mozer MC, Obermayer K. Coulomb classifiers: Generalizing support vector machines via an analogy to electrostatic systems Advances in Neural Information Processing Systems. |
0.68 |
|
| 2002 |
Dima A, Scholz M, Obermayer K. Automatic segmentation and skeletonization of neurons from confocal microscopy images based on the 3-D wavelet transform. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 11: 790-801. PMID 18244675 DOI: 10.1109/TIP.2002.800888 |
0.68 |
|
| 2002 |
Schwabe L, Obermayer K. Rapid adaptation and efficient coding. Bio Systems. 67: 239-44. PMID 12459304 DOI: 10.1016/S0303-2647(02)00082-5 |
0.68 |
|
| 2002 |
Adorjan P, Schwabe L, Wenning G, Obermayer K. Rapid adaptation to internal states as a coding strategy in visual cortex? Neuroreport. 13: 337-42. PMID 11930134 |
0.68 |
|
| 2002 |
Pielot R, Scholz M, Obermayer K, Gundelfinger ED, Hess A. Performance of 3D landmark detection methods for point-based warping in autoradiographic brain imaging Proceedings of the Ieee Southwest Symposium On Image Analysis and Interpretation. 2002: 269-273. DOI: 10.1109/IAI.2002.999931 |
0.68 |
|
| 2002 |
Bartsch H, Obermayer K. A structure preserving image transformation as the goal of visual sensory coding Neurocomputing. 44: 729-734. DOI: 10.1016/S0925-2312(02)00465-4 |
0.68 |
|
| 2002 |
Wenning G, Obermayer K. Adjusting stochastic resonance in a leaky integrate and fire neuron to sub-threshold stimulus distributions Neurocomputing. 44: 225-231. DOI: 10.1016/S0925-2312(02)00437-X |
0.68 |
|
| 2002 |
Allinson N, Yin H, Obermayer K. Introduction: New developments in self-organising maps Neural Networks. 15: 943. DOI: 10.1016/S0893-6080(02)00068-0 |
0.68 |
|
| 2002 |
Vollgraf R, Obermayer K. Multi dimensional ICA to separate correlated sources Advances in Neural Information Processing Systems. |
0.68 |
|
| 2001 |
Stetter M, Greve H, Galizia CG, Obermayer K. Analysis of calcium imaging signals from the honeybee brain by nonlinear models. Neuroimage. 13: 119-28. PMID 11133315 DOI: 10.1006/nimg.2000.0679 |
0.68 |
|
| 2001 |
Hiesinger PR, Scholz M, Meinertzhagen IA, Fischbach KF, Obermayer K. Visualization of synaptic markers in the optic neuropils of Drosophila using a new constrained deconvolution method. The Journal of Comparative Neurology. 429: 277-88. PMID 11116220 DOI: 10.1002/1096-9861(20000108)429:2<277::AID-CNE8>3.0.CO;2-8 |
0.68 |
|
| 2001 |
Schwabe L, Adorján P, Obermayer K. Spike-frequency adaptation as a mechanism for dynamic coding in V1 Neurocomputing. 38: 351-358. DOI: 10.1016/S0925-2312(01)00436-2 |
0.68 |
|
| 2001 |
Bartsch H, Stetter M, Obermayer K. Contextual effects by short range connections in a mean-field model of V1 Neurocomputing. 38: 475-481. DOI: 10.1016/S0925-2312(01)00366-6 |
0.68 |
|
| 2001 |
Pielot R, Scholz M, Obermayer K, Gundelfinger ED, Hess A. 3D edge detection to define landmarks for point-based warping in brain imaging Ieee International Conference On Image Processing. 2: 343-346. |
0.68 |
|
| 2000 |
Bucher D, Scholz M, Stetter M, Obermayer K, Pflüger HJ. Correction methods for three-dimensional reconstructions from confocal images: I. Tissue shrinking and axial scaling. Journal of Neuroscience Methods. 100: 135-43. PMID 11040376 DOI: 10.1016/S0165-0270(00)00245-4 |
0.68 |
|
| 2000 |
Schiessl I, Stetter M, Mayhew JE, McLoughlin N, Lund JS, Obermayer K. Blind signal separation from optical imaging recordings with extended spatial decorrelation. Ieee Transactions On Bio-Medical Engineering. 47: 573-7. PMID 10851799 DOI: 10.1109/10.841327 |
0.68 |
|
| 2000 |
Piepenbrock C, Obermayer K. The effect of intracortical competition on the formation of topographic maps in models of Hebbian learning. Biological Cybernetics. 82: 345-53. PMID 10804066 |
0.68 |
|
| 2000 |
Stetter M, Bartsch H, Obermayer K. A mean-field model for orientation tuning, contrast saturation, and contextual effects in the primary visual cortex. Biological Cybernetics. 82: 291-304. PMID 10804061 |
0.68 |
|
| 2000 |
Bartsch H, Stetter M, Obermayer K. The influence of threshold variability on the response of visual cortical neurons Neurocomputing. 32: 37-43. DOI: 10.1016/S0925-2312(00)00141-7 |
0.68 |
|
| 2000 |
Krepki R, Pu Y, Meng H, Obermayer K. A new algorithm for the interrogation of 3D holographic PTV data based on deterministic annealing and expectation minimization optimization Experiments in Fluids. 29: S99-S107. |
0.68 |
|
| 2000 |
Stellmacher M, Obermayer K. A new particle tracking algorithm based on deterministic annealing and alternative distance measures Experiments in Fluids. 28: 506-518. |
0.68 |
|
| 2000 |
Adorján P, Schwabe L, Piepenbrock C, Obermayer K. Recurrent cortical competition: Strengthen or weaken? Advances in Neural Information Processing Systems. 89-95. |
0.68 |
|
| 2000 |
Graepel T, Herbrich H, Obermayer K. Bayesian transduction Advances in Neural Information Processing Systems. 456-462. |
0.68 |
|
| 1999 |
Adorján P, Piepenbrock C, Obermayer K. Contrast adaptation and infomax in visual cortical neurons. Reviews in the Neurosciences. 10: 181-200. PMID 10526886 |
0.68 |
|
| 1999 |
Adorján P, Levitt JB, Lund JS, Obermayer K. A model for the intracortical origin of orientation preference and tuning in macaque striate cortex. Visual Neuroscience. 16: 303-18. PMID 10367965 DOI: 10.1017/S0952523899162114 |
0.68 |
|
| 1999 |
Bauer U, Scholz M, Levitt JB, Obermayer K, Lund JS. A model for the depth-dependence of receptive field size and contrast sensitivity of cells in layer 4C of macaque striate cortex. Vision Research. 39: 613-29. PMID 10341989 DOI: 10.1016/S0042-6989(98)00172-2 |
0.68 |
|
| 1999 |
Graepel T, Obermayer K. A stochastic self-organizing map for proximity data. Neural Computation. 11: 139-55. PMID 9950727 |
0.68 |
|
| 1999 |
Stetter M, Obermayer K. Simulation of scanning laser techniques for optical imaging of blood-related intrinsic signals. Journal of the Optical Society of America. a, Optics, Image Science, and Vision. 16: 58-70. PMID 9919693 |
0.68 |
|
| 1999 |
Piepenbrock C, Obermayer K. Effects of lateral competition in the primary visual cortex on the development of topographic projections and ocular dominance maps Neurocomputing. 26: 477-482. DOI: 10.1016/S0925-2312(99)00037-5 |
0.68 |
|
| 1999 |
Adorján P, Barna G, Érdi P, Obermayer K. A statistical neural field approach to orientation selectivity Neurocomputing. 26: 313-318. DOI: 10.1016/S0925-2312(99)00015-6 |
0.68 |
|
| 1999 |
Hasenjaeger U, Ritter H, Obermayer K. Active topographic mapping of proximities Iee Conference Publication. 2: 952-957. |
0.68 |
|
| 1999 |
Piepenbrock C, Obermayer K. The role of lateral cortical competition in ocular dominance development Advances in Neural Information Processing Systems. 139-145. |
0.68 |
|
| 1999 |
Graepel T, Herbrich R, Bollmann-Sdorra P, Obermayer K. Classification on pairwise proximity data Advances in Neural Information Processing Systems. 438-444. |
0.68 |
|
| 1999 |
Adorján P, Obermayer K. Contrast adaptation in simple cells by changing the transmitter release probability Advances in Neural Information Processing Systems. 76-82. |
0.68 |
|
| 1998 |
Stetter M, Lang EW, Obermayer K. Unspecific long-term potentiation can evoke functional segregation in a model of area 17. Neuroreport. 9: 2697-702. PMID 9760104 |
0.68 |
|
| 1998 |
Graepel T, Burger M, Obermayer K. Self-organizing maps: Generalizations and new optimization techniques Neurocomputing. 21: 173-190. DOI: 10.1016/S0925-2312(98)00035-6 |
0.68 |
|
| 1998 |
Burger M, Graepel T, Obermayer K. An annealed self-organizing map for source channel coding Advances in Neural Information Processing Systems. 430-436. |
0.68 |
|
| 1997 |
Piepenbrock C, Ritter H, Obermayer K. The joint development of orientation and ocular dominance: role of constraints. Neural Computation. 9: 959-70. PMID 9221108 |
0.68 |
|
| 1997 |
Obermayer K, Blasdel GG. Singularities in primate orientation maps. Neural Computation. 9: 555-75. PMID 9097474 |
0.68 |
|
| 1997 |
Graepel T, Burger M, Obermayer K. Phase transitions in stochastic self-organizing maps Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 56: 3876-3890. |
0.68 |
|
| 1997 |
Bauer U, Adorján P, Scholz M, Levitt JB, Lund JS, Obermayer K. On the anatomical basis of field size, contrast sensitivity, and orientation selectivity in macaque striate cortex: A model study Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 213-218. |
0.68 |
|
| 1997 |
Burger M, Graepel T, Obermayer K. Phase transitions in soft topographic vector quantization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 619-624. |
0.68 |
|
| 1997 |
Stetter M, Lang EW, Obermayer K. Synapse clustering can drive simultaneous on-off and ocular-dominance segregation in a model of area 17 Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 190-194. |
0.68 |
|
| 1997 |
Bartsch H, Stetter M, Obermayer K. A model for orientation tuning and contextual effects of orientation selective receptive fields Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 237-242. |
0.68 |
|
| 1996 |
Piepenbrock C, Ritter H, Obermayer K. Cortical map development driven by spontaneous retinal activity waves Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1112: 427-432. DOI: 10.1007/3-540-61510-5_74 |
0.68 |
|
| 1996 |
Piepenbrock C, Ritter H, Obermayer K. Linear correlation-based learning models require a two-stage process for the development of orientation and ocular dominance Neural Processing Letters. 3: 31-37. |
0.68 |
|
| 1995 |
Erwin E, Obermayer K, Schulten K. Models of orientation and ocular dominance columns in the visual cortex: a critical comparison. Neural Computation. 7: 425-68. PMID 8935959 DOI: 10.1162/neco.1995.7.3.425 |
0.68 |
|
| 1995 |
Obermayer K, Sejnowski T, Blasdel GG. Neural pattern formation via a competitive Hebbian mechanism. Behavioural Brain Research. 66: 161-7. PMID 7755886 DOI: 10.1016/0166-4328(94)00136-4 |
0.68 |
|
| 1995 |
Blasdel G, Obermayer K, Kiorpes L. Organization of ocular dominance and orientation columns in the striate cortex of neonatal macaque monkeys. Visual Neuroscience. 12: 589-603. PMID 7654611 DOI: 10.1017/S0952523800008476 |
0.68 |
|
| 1994 |
Blasdel G, Obermayer K. Putative strategies of scene segmentation in monkey visual cortex Neural Networks. 7: 865-881. DOI: 10.1016/S0893-6080(05)80149-2 |
0.68 |
|
| 1993 |
Obermayer K, Blasdel GG. Geometry of orientation and ocular dominance columns in monkey striate cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 13: 4114-29. PMID 8410181 |
0.68 |
|
| 1992 |
Obermayer K, Blasdel GG, Schulten K. Statistical-mechanical analysis of self-organization and pattern formation during the development of visual maps. Physical Review. A. 45: 7568-7589. PMID 9906831 DOI: 10.1103/PhysRevA.45.7568 |
0.68 |
|
| 1992 |
Erwin E, Obermayer K, Schulten K. Self-organizing maps: ordering, convergence properties and energy functions. Biological Cybernetics. 67: 47-55. PMID 1606243 DOI: 10.1007/BF00201801 |
0.68 |
|
| 1992 |
Erwin E, Obermayer K, Schulten K. Self-organizing maps: stationary states, metastability and convergence rate. Biological Cybernetics. 67: 35-45. PMID 1606242 DOI: 10.1007/BF00201800 |
0.68 |
|
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