| Year |
Citation |
Score |
| 2022 |
Rebscher L, Obermayer K, Metzner C. Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks. Frontiers in Computational Neuroscience. 16: 825865. PMID 35185505 DOI: 10.3389/fncom.2022.825865 |
0.496 |
|
| 2021 |
Dimulescu C, Gareayaghi S, Kamp F, Fromm S, Obermayer K, Metzner C. Structural Differences Between Healthy Subjects and Patients With Schizophrenia or Schizoaffective Disorder: A Graph and Control Theoretical Perspective. Frontiers in Psychiatry. 12: 669783. PMID 34262489 DOI: 10.3389/fpsyt.2021.669783 |
0.473 |
|
| 2020 |
Cakan C, Obermayer K. Biophysically grounded mean-field models of neural populations under electrical stimulation. Plos Computational Biology. 16: e1007822. PMID 32324734 DOI: 10.1371/Journal.Pcbi.1007822 |
0.35 |
|
| 2019 |
Ladenbauer J, Obermayer K. Weak electric fields promote resonance in neuronal spiking activity: Analytical results from two-compartment cell and network models. Plos Computational Biology. 15: e1006974. PMID 31009455 DOI: 10.1371/Journal.Pcbi.1006974 |
0.38 |
|
| 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 |
0.37 |
|
| 2018 |
Aspart F, Remme MWH, Obermayer K. Differential polarization of cortical pyramidal neuron dendrites through weak extracellular fields. Plos Computational Biology. 14: e1006124. PMID 29727454 DOI: 10.1371/Journal.Pcbi.1006124 |
0.325 |
|
| 2017 |
Holca-Lamarre R, Lücke J, Obermayer K. Models of Acetylcholine and Dopamine Signals Differentially Improve Neural Representations. Frontiers in Computational Neuroscience. 11: 54. PMID 28690509 DOI: 10.3389/Fncom.2017.00054 |
0.36 |
|
| 2017 |
Augustin M, Ladenbauer J, Baumann F, Obermayer K. Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation. Plos Computational Biology. 13: e1005545. PMID 28644841 DOI: 10.1371/Journal.Pcbi.1005545 |
0.375 |
|
| 2017 |
Meyer R, Ladenbauer J, Obermayer K. The Influence of Mexican Hat Recurrent Connectivity on Noise Correlations and Stimulus Encoding. Frontiers in Computational Neuroscience. 11: 34. PMID 28539881 DOI: 10.3389/Fncom.2017.00034 |
0.359 |
|
| 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 |
0.721 |
|
| 2017 |
Oschmann F, Berry H, Obermayer K, Lenk K. From in silico astrocyte cell models to neuron-astrocyte network models: A review. Brain Research Bulletin. PMID 28189516 DOI: 10.1016/J.Brainresbull.2017.01.027 |
0.354 |
|
| 2017 |
Donner C, Obermayer K, Shimazaki H. Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations. Plos Computational Biology. 13: e1005309. PMID 28095421 DOI: 10.1371/Journal.Pcbi.1005309 |
0.385 |
|
| 2017 |
Newton AJH, Seidenstein AH, McDougal RA, Pérez-Cervera A, Huguet G, M-Seara T, Haimerl C, Angulo-Garcia D, Torcini A, Cossart R, Malvache A, Skiker K, Maouene M, Ragognetti G, Lorusso L, ... ... Obermayer K, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1 |
0.693 |
|
| 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 |
0.411 |
|
| 2016 |
Aspart F, Ladenbauer J, Obermayer K. Extending Integrate-and-Fire Model Neurons to Account for the Effects of Weak Electric Fields and Input Filtering Mediated by the Dendrite. Plos Computational Biology. 12: e1005206. PMID 27893786 DOI: 10.1371/Journal.Pcbi.1005206 |
0.358 |
|
| 2016 |
Kanev J, Koutsou A, Christodoulou C, Obermayer K. Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode. Neural Computation. 1-38. PMID 27557103 DOI: 10.1162/Neco_A_00875 |
0.339 |
|
| 2016 |
Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Obermayer K, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6 |
0.719 |
|
| 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 |
0.429 |
|
| 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 |
0.359 |
|
| 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 |
0.334 |
|
| 2015 |
Aspart F, Ladenbauer J, Obermayer K. Extending integrate-and fire model neurons to account for the effects of weak electric fields in the presence of dendrites. Bmc Neuroscience. 16: 185. DOI: 10.1186/1471-2202-16-S1-P185 |
0.363 |
|
| 2015 |
Augustin M, Ladenbauer J, Obermayer K. Low-dimensional spike rate dynamics of coupled adaptive model neurons. Bmc Neuroscience. 16: 183. DOI: 10.1186/1471-2202-16-S1-P183 |
0.381 |
|
| 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 |
0.339 |
|
| 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 |
0.323 |
|
| 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 |
0.392 |
|
| 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 |
0.349 |
|
| 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 |
0.348 |
|
| 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 |
0.441 |
|
| 2013 |
Augustin M, Ladenbauer J, Obermayer K. Effects of neuronal adaptation currents on network-based spike rate oscillations Bmc Neuroscience. 14: 300. DOI: 10.1186/1471-2202-14-S1-P300 |
0.358 |
|
| 2013 |
Ladenbauer J, Augustin M, Obermayer K. How adaptation currents and synaptic inhibition change threshold, gain and variability of neuronal spiking Bmc Neuroscience. 14: 299. DOI: 10.1186/1471-2202-14-S1-P299 |
0.32 |
|
| 2013 |
Mergenthaler K, Roy D, Petravicz J, Sur M, Obermayer K. Changes in V1 orientation tuning when blocking astrocytic glutamate transporters: models for extra- and intrasynaptic mechanisms Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P298 |
0.707 |
|
| 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 |
0.385 |
|
| 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 |
0.304 |
|
| 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 |
0.356 |
|
| 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 |
0.333 |
|
| 2011 |
Ladenbauer J, Shiau L, Obermayer K. Effects of adaptation and synaptic plasticity on synchronization of coupled oscillating neurons Bmc Neuroscience. 12: 240. DOI: 10.1186/1471-2202-12-S1-P240 |
0.317 |
|
| 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 |
0.324 |
|
| 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 |
0.327 |
|
| 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 |
0.35 |
|
| 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 |
0.436 |
|
| 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 |
0.426 |
|
| 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 |
0.562 |
|
| 2009 |
Martin R, Obermayer K. Self-Organizing Maps Biological Cybernetics. 551-560. DOI: 10.1016/B978-008045046-9.01431-5 |
0.309 |
|
| 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. |
0.433 |
|
| 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 |
0.317 |
|
| 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 |
0.409 |
|
| 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 |
0.498 |
|
| 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 |
0.386 |
|
| 2007 |
Gallinat J, Obermayer K, Heinz A. Systems neurobiology of the dysfunctional brain: Schizophrenia Pharmacopsychiatry. 40: S40-S44. DOI: 10.1055/S-2007-992811 |
0.402 |
|
| 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 |
0.336 |
|
| 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 |
0.402 |
|
| 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 |
0.342 |
|
| 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 |
0.316 |
|
| 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 |
0.381 |
|
| 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 |
0.338 |
|
| 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 |
0.313 |
|
| 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 |
0.557 |
|
| 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 |
0.311 |
|
| 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 |
0.347 |
|
| 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 |
0.322 |
|
| 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 |
0.35 |
|
| 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 DOI: 10.1103/Physreve.68.011911 |
0.33 |
|
| 2003 |
Wenning G, Obermayer K. Activity driven adaptive stochastic resonance. Physical Review Letters. 90: 120602. PMID 12688861 DOI: 10.1103/Physrevlett.90.120602 |
0.355 |
|
| 2003 |
Hoch T, Wenning G, Obermayer K. Adaptation using local information for maximizing the global cost Neurocomputing. 52: 541-546. DOI: 10.1016/S0925-2312(02)00779-8 |
0.306 |
|
| 2003 |
Bartsch H, Obermayer K. Second-order statistics of natural images Neurocomputing. 52: 467-472. DOI: 10.1016/S0925-2312(02)00734-8 |
0.356 |
|
| 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 |
0.305 |
|
| 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 |
0.356 |
|
| 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 DOI: 10.1097/00001756-200203040-00018 |
0.363 |
|
| 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 |
0.356 |
|
| 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 |
0.359 |
|
| 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 |
0.323 |
|
| 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 |
0.335 |
|
| 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 |
0.349 |
|
| 2001 |
Weber C, Obermayer K. Emergence of Modularity within One Sheet of Neurons: A Model Comparison Lecture Notes in Computer Science. 53-67. DOI: 10.1007/3-540-44597-8_4 |
0.678 |
|
| 2001 |
Bartsch H, Stetter M, Obermayer K. On the influence of threshold variability in a mean-field model of the visual cortex Lecture Notes in Computer Science. 174-187. DOI: 10.1007/3-540-44597-8_13 |
0.385 |
|
| 2000 |
Müller T, Stetter M, Hübener M, Sengpiel F, Bonhoeffer T, Gödecke I, Chapman B, Löwel S, Obermayer K. An analysis of orientation and ocular dominance patterns in the visual cortex of cats and ferrets. Neural Computation. 12: 2573-95. PMID 11110128 DOI: 10.1162/089976600300014854 |
0.309 |
|
| 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 DOI: 10.1007/S004220050588 |
0.363 |
|
| 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 DOI: 10.1007/S004220050583 |
0.357 |
|
| 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 |
0.377 |
|
| 1999 |
Adorján P, Piepenbrock C, Obermayer K. Contrast adaptation and infomax in visual cortical neurons. Reviews in the Neurosciences. 10: 181-200. PMID 10526886 DOI: 10.1515/Revneuro.1999.10.3-4.181 |
0.352 |
|
| 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 |
0.338 |
|
| 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 |
0.321 |
|
| 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 |
0.343 |
|
| 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 DOI: 10.1097/00001756-199808240-00002 |
0.331 |
|
| 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 DOI: 10.1162/Neco.1997.9.5.959 |
0.311 |
|
| 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. DOI: 10.1007/Bf00417787 |
0.306 |
|
| 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 |
0.328 |
|
| 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 |
0.315 |
|
| 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 |
0.323 |
|
| 1990 |
Obermayer K, Ritter H, Schulten K. A principle for the formation of the spatial structure of cortical feature maps. Proceedings of the National Academy of Sciences of the United States of America. 87: 8345-9. PMID 2236045 DOI: 10.1073/Pnas.87.21.8345 |
0.34 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2000 |
PURWINS H, BLANKERTZ B, OBERMAYER K. Computing auditory perception Organised Sound. 5: 159-171. DOI: 10.1017/S1355771800005069 |
0.296 |
|
| 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 |
0.294 |
|
| 1997 |
Obermayer K, Blasdel GG. Singularities in primate orientation maps. Neural Computation. 9: 555-75. PMID 9097474 DOI: 10.1162/Neco.1997.9.3.555 |
0.292 |
|
| 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 |
0.292 |
|
| 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 |
0.292 |
|
| 2009 |
Stimberg M, Obermayer K. Map location affects center-surround modulation in a network model of V1 Bmc Neuroscience. 10: 179. DOI: 10.1186/1471-2202-10-S1-P179 |
0.291 |
|
| 2009 |
Wimmer K, Obermayer K. Orientation plasticity and the tilt aftereffect in network models of V1 Bmc Neuroscience. 10: 180. DOI: 10.1186/1471-2202-10-S1-P180 |
0.291 |
|
| 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 |
0.29 |
|
| 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 |
0.29 |
|
| 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 |
0.289 |
|
| 2016 |
Guo R, Böhmer W, Hebart M, Chien S, Sommer T, Obermayer K, Gläscher J. Interaction of Instrumental and Goal-Directed Learning Modulates Prediction Error Representations in the Ventral Striatum. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 12650-12660. PMID 27974615 DOI: 10.1523/Jneurosci.1677-16.2016 |
0.286 |
|
| 2015 |
Meyer R, Obermayer K. pypet: a python toolkit for simulations and numerical experiments. Bmc Neuroscience. 16: 184. DOI: 10.1186/1471-2202-16-S1-P184 |
0.284 |
|
| 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 |
0.284 |
|
| 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 |
0.284 |
|
| 2009 |
Martin R, Tadmor Y, Obermayer K. Theoretical analysis of the information carried by the contrast response functions of M-cells, P-cells and V1 neurons Bmc Neuroscience. 10: 131. DOI: 10.1186/1471-2202-10-S1-P131 |
0.283 |
|
| 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 DOI: 10.1523/Jneurosci.13-10-04114.1993 |
0.283 |
|
| 2007 |
Young JM, Waleszczyk WJ, Wang C, Calford MB, Dreher B, Obermayer K. Corrigendum: Cortical reorganization consistent with spike timing|[ndash]|but not correlation-dependent plasticity Nature Neuroscience. 10: 1073-1073. DOI: 10.1038/Nn0807-1073C |
0.282 |
|
| 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 |
0.278 |
|
| 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 |
0.277 |
|
| 2016 |
Bielievtsov D, Ladenbauer J, Obermayer K. Controlling statistical moments of stochastic dynamical networks. Physical Review. E. 94: 012306. PMID 27575147 DOI: 10.1103/Physreve.94.012306 |
0.276 |
|
| 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 |
0.275 |
|
| 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 |
0.274 |
|
| 2003 |
Seo S, Obermayer K. Soft learning vector quantization. Neural Computation. 15: 1589-604. PMID 12816567 DOI: 10.1162/089976603321891819 |
0.274 |
|
| 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 |
0.273 |
|
| 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 |
0.273 |
|
| 2008 |
Onken A, Obermayer K. Modeling spike-count dependence structures with multivariate Poisson distributions Bmc Neuroscience. 9: 127. DOI: 10.1186/1471-2202-9-S1-P127 |
0.273 |
|
| 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 |
0.272 |
|
| 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 |
0.271 |
|
| 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 |
0.271 |
|
| 1999 |
Graepel T, Obermayer K. A stochastic self-organizing map for proximity data. Neural Computation. 11: 139-55. PMID 9950727 DOI: 10.1162/089976699300016854 |
0.27 |
|
| 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 |
0.27 |
|
| 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 |
0.27 |
|
| 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 |
0.268 |
|
| 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 |
0.266 |
|
| 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 |
0.265 |
|
| 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 |
0.265 |
|
| 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 |
0.264 |
|
| 2016 |
Meyer R, Obermayer K. pypet: A Python Toolkit for Data Management of Parameter Explorations. Frontiers in Neuroinformatics. 10: 38. PMID 27610080 DOI: 10.3389/Fninf.2016.00038 |
0.264 |
|
| 2013 |
Pröpper R, Obermayer K. Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis. Frontiers in Neuroinformatics. 7: 26. PMID 24273510 DOI: 10.3389/Fninf.2013.00026 |
0.264 |
|
| 2020 |
Trowitzsch I, Schymura C, Kolossa D, Obermayer K. Joining Sound Event Detection and Localization Through Spatial Segregation Ieee Transactions On Audio, Speech, and Language Processing. 28: 487-502. DOI: 10.1109/Taslp.2019.2958408 |
0.264 |
|
| 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 |
0.263 |
|
| 2017 |
Trowitzsch I, Mohr J, Kashef Y, Obermayer K. Robust Detection of Environmental Sounds in Binaural Auditory Scenes Ieee Transactions On Audio, Speech, and Language Processing. 25: 1344-1356. DOI: 10.1109/Taslp.2017.2690573 |
0.26 |
|
| 2015 |
Böhmer W, Springenberg JT, Boedecker J, Riedmiller MA, Obermayer K. 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 Intelligenz. 29: 353-362. DOI: 10.1007/S13218-015-0356-1 |
0.259 |
|
| 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 |
0.256 |
|
| 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 |
0.255 |
|
| 2012 |
Guggenmos M, Rothkirch M, Haynes J, Obermayer K, Sterzer P. Reward-dependent perceptual learning of objects (a pilot study) F1000research. 3. DOI: 10.7490/F1000Research.1092616.1 |
0.249 |
|
| 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 |
0.245 |
|
| 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 |
0.244 |
|
| 2000 |
Kim H, Obermayer K, Bode M, Ruwisch D. Real-time noise canceling based on spectral minimum detection and diffusive gain factors Journal of the Acoustical Society of America. 108: 2484-2484. DOI: 10.1121/1.4743167 |
0.242 |
|
| 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 |
0.242 |
|
| 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 |
0.241 |
|
| 2000 |
Stellmacher M, Obermayer K. A new particle tracking algorithm based on deterministic annealing and alternative distance measures Experiments in Fluids. 28: 506-518. DOI: 10.1007/S003480050412 |
0.237 |
|
| 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 |
0.236 |
|
| 2019 |
Laschos V, Obermayer K, Shen Y, Stannat W. A Fenchel-Moreau-Rockafellar type theorem on the Kantorovich-Wasserstein space with applications in partially observable Markov decision processes Journal of Mathematical Analysis and Applications. 477: 1133-1156. DOI: 10.1016/J.Jmaa.2019.05.004 |
0.236 |
|
| 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 |
0.236 |
|
| 2011 |
Jain BJ, Obermayer K. Graph quantization Computer Vision and Image Understanding. 115: 946-961. DOI: 10.1016/J.Cviu.2011.03.004 |
0.236 |
|
| 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 DOI: 10.1364/Josaa.16.000058 |
0.234 |
|
| 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 |
0.232 |
|
| 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 |
0.23 |
|
| 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. DOI: 10.1007/S003480070012 |
0.23 |
|
| 2017 |
Oschmann F, Mergenthaler K, Jungnickel E, Obermayer K. Spatial separation of two different pathways accounting for the generation of calcium signals in astrocytes. Plos Computational Biology. 13: e1005377. PMID 28192424 DOI: 10.1371/Journal.Pcbi.1005377 |
0.222 |
|
| 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 |
0.219 |
|
| 2014 |
Franke F, Meier P, Sobolev A, Hagen E, Hierlemann A, Obermayer K, Einevoll GT, Wachtler T. Automatic spike sorting evaluation: A website based community approach Frontiers in Neuroinformatics. 8. DOI: 10.3389/Conf.Fninf.2014.08.00050 |
0.218 |
|
| 2023 |
Karapetian A, Boyanova A, Pandaram M, Obermayer K, Kietzmann TC, Cichy RM. Empirically Identifying and Computationally Modelling the Brain-Behavior Relationship for Human Scene Categorization. Journal of Cognitive Neuroscience. 1-19. PMID 37590093 DOI: 10.1162/jocn_a_02043 |
0.217 |
|
| 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. DOI: 10.1103/Physreve.56.3876 |
0.21 |
|
| 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 |
0.197 |
|
| 2022 |
Alevi D, Stimberg M, Sprekeler H, Obermayer K, Augustin M. Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs. Frontiers in Neuroinformatics. 16: 883700. PMID 36387586 DOI: 10.3389/fninf.2022.883700 |
0.196 |
|
| 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. |
0.189 |
|
| 2014 |
Schmidt S, Scholz M, Haberbosch L, Mante A, Obermayer K, Brandt S. P273: Fast induction of alpha entrainment with bandwidth confined electric and photic stimulation Clinical Neurophysiology. 125: S122. DOI: 10.1016/S1388-2457(14)50394-X |
0.188 |
|
| 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. |
0.186 |
|
| 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 |
0.168 |
|
| 2023 |
Salfenmoser L, Obermayer K. Optimal control of a Wilson-Cowan model of neural population dynamics. Chaos (Woodbury, N.Y.). 33. PMID 37097962 DOI: 10.1063/5.0144682 |
0.166 |
|
| 2023 |
Roth N, Rolfs M, Hellwich O, Obermayer K. Objects guide human gaze behavior in dynamic real-world scenes. Plos Computational Biology. 19: e1011512. PMID 37883331 DOI: 10.1371/journal.pcbi.1011512 |
0.158 |
|
| 2021 |
Chouzouris T, Roth N, Cakan C, Obermayer K. Applications of optimal nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators. Physical Review. E. 104: 024213. PMID 34525550 DOI: 10.1103/PhysRevE.104.024213 |
0.156 |
|
| 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. |
0.147 |
|
| 2022 |
Salfenmoser L, Obermayer K. Nonlinear optimal control of a mean-field model of neural population dynamics. Frontiers in Computational Neuroscience. 16: 931121. PMID 35990368 DOI: 10.3389/fncom.2022.931121 |
0.147 |
|
| 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 |
0.143 |
|
| 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 |
0.142 |
|
| 2021 |
Duan X, Xie S, Xie X, Obermayer K, Cui Y, Wang Z. An Online Data Visualization Feedback Protocol for Motor Imagery-Based BCI Training. Frontiers in Human Neuroscience. 15: 625983. PMID 34163337 DOI: 10.3389/fnhum.2021.625983 |
0.139 |
|
| 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 |
0.138 |
|
| 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. |
0.136 |
|
| 2022 |
Cakan C, Dimulescu C, Khakimova L, Obst D, Flöel A, Obermayer K. Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep. Frontiers in Computational Neuroscience. 15: 800101. PMID 35095451 DOI: 10.3389/fncom.2021.800101 |
0.136 |
|
| 2000 |
Stetter M, Schiessl I, Otto T, Sengpiel F, Hübener M, Bonhoeffer T, Obermayer K. Principal component analysis and blind separation of sources for optical imaging of intrinsic signals. Neuroimage. 11: 482-90. PMID 10806034 DOI: 10.1006/nimg.2000.0551 |
0.134 |
|
| 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 |
0.133 |
|
| 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 |
0.131 |
|
| 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. |
0.131 |
|
| 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. |
0.127 |
|
| 2012 |
Obermayer K. Editorial: Computational neuroscience and modeling of diseases: Do we need new paradigms? Basic and Clinical Neuroscience. 3: 3-4. |
0.124 |
|
| 2024 |
Metzner C, Dimulescu C, Kamp F, Fromm S, Uhlhaas PJ, Obermayer K. Exploring global and local processes underlying alterations in resting-state functional connectivity and dynamics in schizophrenia. Frontiers in Psychiatry. 15: 1352641. PMID 38414495 DOI: 10.3389/fpsyt.2024.1352641 |
0.12 |
|
| 2024 |
Dimulescu C, Donle L, Cakan C, Goerttler T, Khakimova L, Ladenbauer J, Flöel A, Obermayer K. Improving the detection of sleep slow oscillations in electroencephalographic data. Frontiers in Neuroinformatics. 18: 1338886. PMID 38375447 DOI: 10.3389/fninf.2024.1338886 |
0.12 |
|
| 2022 |
Jajcay N, Cakan C, Obermayer K. Cross-Frequency Slow Oscillation-Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model. Frontiers in Computational Neuroscience. 16: 769860. PMID 35603132 DOI: 10.3389/fncom.2022.769860 |
0.117 |
|
| 2023 |
Duan X, Xie S, Lv Y, Xie X, Obermayer K, Yan H. A transfer learning-based feedback training motivates the performance of SMR-BCI. Journal of Neural Engineering. 20. PMID 36577144 DOI: 10.1088/1741-2552/acaee7 |
0.113 |
|
| 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 |
0.103 |
|
| 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 |
0.102 |
|
| 2021 |
Cakan C, Obermayer K. Correction: Biophysically grounded mean-field models of neural populations under electrical stimulation. Plos Computational Biology. 17: e1008717. PMID 33626037 DOI: 10.1371/journal.pcbi.1008717 |
0.101 |
|
| 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 |
0.101 |
|
| 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. |
0.099 |
|
| 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. |
0.098 |
|
| 1999 |
Piepenbrock C, Obermayer K. The role of lateral cortical competition in ocular dominance development Advances in Neural Information Processing Systems. 139-145. |
0.094 |
|
| 2000 |
Adorján P, Schwabe L, Piepenbrock C, Obermayer K. Recurrent cortical competition: Strengthen or weaken? Advances in Neural Information Processing Systems. 89-95. |
0.091 |
|
| 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 |
0.088 |
|
| 2008 |
Henrich FF, Obermayer K. Active learning by spherical subdivision Journal of Machine Learning Research. 9: 105-130. |
0.086 |
|
| 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 |
0.086 |
|
| 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 |
0.084 |
|
| 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. |
0.084 |
|
| 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. |
0.083 |
|
| 2009 |
Murfi H, Obermayer K. A two-level learning hierarchy of concept based keyword extraction for tag recommendations Ceur Workshop Proceedings. 497: 201-214. |
0.082 |
|
| 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. |
0.08 |
|
| 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 |
0.079 |
|
| 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. |
0.078 |
|
| 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 |
0.078 |
|
| 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 |
0.077 |
|
| 2015 |
Franke F, Quian Quiroga R, Hierlemann A, Obermayer K. Erratum to: Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering. Journal of Computational Neuroscience. 38: 461. PMID 25868703 DOI: 10.1007/s10827-015-0555-7 |
0.075 |
|
| 2022 |
Ladenbauer J, Khakimova L, Malinowski R, Obst D, Tönnies E, Antonenko D, Obermayer K, Hanna J, Flöel A. Towards Optimization of Oscillatory Stimulation During Sleep. Neuromodulation : Journal of the International Neuromodulation Society. PMID 35981956 DOI: 10.1016/j.neurom.2022.05.006 |
0.074 |
|
| 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 |
0.074 |
|
| 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 |
0.073 |
|
| 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 |
0.073 |
|
| 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. |
0.072 |
|
| 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 |
0.072 |
|
| 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 |
0.071 |
|
| 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. |
0.071 |
|
| 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. |
0.071 |
|
| 1999 |
Adorján P, Obermayer K. Contrast adaptation in simple cells by changing the transmitter release probability Advances in Neural Information Processing Systems. 76-82. |
0.07 |
|
| 1999 |
Hasenjaeger U, Ritter H, Obermayer K. Active topographic mapping of proximities Iee Conference Publication. 2: 952-957. |
0.069 |
|
| 2006 |
Hochreiter S, Obermayer K. Nonlinear feature selection with the potential support vector machine Studies in Fuzziness and Soft Computing. 207: 419-438. |
0.066 |
|
| 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 |
0.066 |
|
| 2023 |
Wüst LN, Antonenko D, Malinowski R, Khakimova L, Grittner U, Obermayer K, Ladenbauer J, Flöel A. Interrelations and functional roles of key oscillatory activities during daytime sleep in older adults. Journal of Sleep Research. PMID 37488062 DOI: 10.1111/jsr.13981 |
0.066 |
|
| 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 |
0.064 |
|
| 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. |
0.063 |
|
| 2006 |
Vollgraf R, Obermayer K. Sparse optimization for second order Kernel methods Ieee International Conference On Neural Networks - Conference Proceedings. 145-152. |
0.063 |
|
| 2008 |
Adiloʇlu K, Anniés R, Obermayer K, Visell Y, Drioli C. Adaptive bottle International Computer Music Conference, Icmc 2008. |
0.062 |
|
| 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 |
0.061 |
|
| 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 |
0.061 |
|
| 2005 |
Mohr J, Obermayer K. A topographic support vector machine: Classification using local label configurations Advances in Neural Information Processing Systems. |
0.059 |
|
| 2000 |
Graepel T, Herbrich H, Obermayer K. Bayesian transduction Advances in Neural Information Processing Systems. 456-462. |
0.058 |
|
| 2006 |
Seo S, Obermayer K. Dynamic hyperparameter scaling method for LVQ algorithms Ieee International Conference On Neural Networks - Conference Proceedings. 3196-3203. |
0.058 |
|
| 1999 |
Graepel T, Herbrich R, Bollmann-Sdorra P, Obermayer K. Classification on pairwise proximity data Advances in Neural Information Processing Systems. 438-444. |
0.057 |
|
| 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 |
0.057 |
|
| 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. |
0.056 |
|
| 2002 |
Vollgraf R, Obermayer K. Multi dimensional ICA to separate correlated sources Advances in Neural Information Processing Systems. |
0.055 |
|
| 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 |
0.053 |
|
| 2013 |
Hildebrand DG, Alexander E, Hörber S, Lehle S, Obermayer K, Münck NA, Rothfuss O, Frick JS, Morimatsu M, Schmitz I, Roth J, Ehrchen JM, Essmann F, Schulze-Osthoff K. IκBζ is a transcriptional key regulator of CCL2/MCP-1. Journal of Immunology (Baltimore, Md. : 1950). 190: 4812-20. PMID 23547114 DOI: 10.4049/jimmunol.1300089 |
0.051 |
|
| 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 |
0.051 |
|
| 2005 |
Adiloʇlu K, Obermayer K. Finding subsequences of melodies in musical pieces International Computer Music Conference, Icmc 2005. |
0.05 |
|
| 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 |
0.05 |
|
| 2006 |
Adiloʇlu K, Obermayer K. Melodic topologies International Computer Music Conference, Icmc 2006. 111-114. |
0.049 |
|
| 2013 |
Alexander E, Hildebrand DG, Kriebs A, Obermayer K, Manz M, Rothfuss O, Schulze-Osthoff K, Essmann F. IκBζ is a regulator of the senescence-associated secretory phenotype in DNA damage- and oncogene-induced senescence. Journal of Cell Science. 126: 3738-45. PMID 23781024 DOI: 10.1242/jcs.128835 |
0.047 |
|
| 1998 |
Burger M, Graepel T, Obermayer K. An annealed self-organizing map for source channel coding Advances in Neural Information Processing Systems. 430-436. |
0.046 |
|
| 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 |
0.046 |
|
| 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 |
0.045 |
|
| 2012 |
Azoitei N, Hoffmann CM, Ellegast JM, Ball CR, Obermayer K, Gößele U, Koch B, Faber K, Genze F, Schrader M, Kestler HA, Döhner H, Chiosis G, Glimm H, Fröhling S, et al. Targeting of KRAS mutant tumors by HSP90 inhibitors involves degradation of STK33. The Journal of Experimental Medicine. 209: 697-711. PMID 22451720 DOI: 10.1084/Jem.20111910 |
0.044 |
|
| 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 |
0.044 |
|
| 1988 |
Obermayer K, Teich WG, Mahler G. Structural basis of multistationary quantum systems. I. Effective single-particle dynamics. Physical Review. B, Condensed Matter. 37: 8096-8110. PMID 9944141 |
0.043 |
|
| 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 |
0.042 |
|
| 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. |
0.042 |
|
| 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 |
0.042 |
|
| 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 |
0.042 |
|
| 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 |
0.041 |
|
| 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 |
0.041 |
|
| 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 |
0.041 |
|
| 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 |
0.041 |
|
| 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 |
0.039 |
|
| 1987 |
Obermayer K, Mahler G, Haken H. Multistable quantum systems: Information processing at microscopic levels. Physical Review Letters. 58: 1792-1795. PMID 10034537 |
0.039 |
|
| 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 |
0.036 |
|
| 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. |
0.036 |
|
| 1988 |
Teich WG, Obermayer K, Mahler G. Structural basis of multistationary quantum systems. II. Effective few-particle dynamics. Physical Review. B, Condensed Matter. 37: 8111-8121. PMID 9944142 |
0.036 |
|
| 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 |
0.035 |
|
| 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 |
0.033 |
|
| 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. |
0.033 |
|
| 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. |
0.032 |
|
| 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 |
0.03 |
|
| 2009 |
Jain BJ, Obermayer K. Structure spaces Journal of Machine Learning Research. 10: 2667-2714. |
0.03 |
|
| 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 |
0.02 |
|
| 1993 |
Erwin E, Obermayer K, Schulten K. Erratum Biological Cybernetics. 68: 285-285. DOI: 10.1007/BF00224864 |
0.01 |
|
| 1988 |
Obermayer K, Mahler G, Haken H. Obermayer, Mahler, and Haken reply. Physical Review Letters. 60: 658. PMID 10038611 |
0.01 |
|
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