| 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 |
|
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