☰

Robert Urbanczik, PD Dr. - Publications

Affiliations: 
Physiology University of Bern, Bern, Bern, Switzerland 
Tree Info Grants Similar researchers Related pubs Distance to... Nearest Nobel PubMed Report error

29 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Brea J, Gaál AT, Urbanczik R, Senn W. Prospective Coding by Spiking Neurons. Plos Computational Biology. 12: e1005003. PMID 27341100 DOI: 10.1371/Journal.Pcbi.1005003  0.74
2016 Schiess M, Urbanczik R, Senn W. Somato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites. Plos Computational Biology. 12: e1004638. PMID 26841235 DOI: 10.1371/Journal.Pcbi.1004638  0.718
2015 Vladimirskiy B, Urbanczik R, Senn W. Hierarchical Novelty-Familiarity Representation in the Visual System by Modular Predictive Coding. Plos One. 10: e0144636. PMID 26670700 DOI: 10.1371/Journal.Pone.0144636  0.614
2015 Khajeh-Alijani A, Urbanczik R, Senn W. Scale-Free Navigational Planning by Neuronal Traveling Waves. Plos One. 10: e0127269. PMID 26158660 DOI: 10.1371/Journal.Pone.0127269  0.6
2014 Lüdge T, Urbanczik R, Senn W. Modulation of orientation-selective neurons by motion: when additive, when multiplicative? Frontiers in Computational Neuroscience. 8: 67. PMID 24999328 DOI: 10.3389/Fncom.2014.00067  0.607
2014 Brea J, Urbanczik R, Senn W. A normative theory of forgetting: lessons from the fruit fly. Plos Computational Biology. 10: e1003640. PMID 24901935 DOI: 10.1371/Journal.Pcbi.1003640  0.591
2014 Friedrich J, Urbanczik R, Senn W. Code-specific learning rules improve action selection by populations of spiking neurons. International Journal of Neural Systems. 24: 1450002. PMID 24875790 DOI: 10.1142/S0129065714500026  0.729
2014 Urbanczik R, Senn W. Learning by the dendritic prediction of somatic spiking. Neuron. 81: 521-8. PMID 24507189 DOI: 10.1016/J.Neuron.2013.11.030  0.728
2012 Schiess M, Urbanczik R, Senn W. Gradient estimation in dendritic reinforcement learning. Journal of Mathematical Neuroscience. 2: 2. PMID 22657827 DOI: 10.1186/2190-8567-2-2  0.727
2011 Friedrich J, Urbanczik R, Senn W. Spatio-temporal credit assignment in neuronal population learning. Plos Computational Biology. 7: e1002092. PMID 21738460 DOI: 10.1371/Journal.Pcbi.1002092  0.72
2011 Schiess M, Urbanczik R, Senn W. Reinforcement learning in dendritic structures Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P293  0.715
2011 Friedrich J, Urbanczik R, Senn W. Policy gradient rules for populations of spiking neurons Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P111  0.699
2010 Friedrich J, Urbanczik R, Senn W. Learning spike-based population codes by reward and population feedback. Neural Computation. 22: 1698-717. PMID 20235820 DOI: 10.1162/Neco.2010.05-09-1010  0.688
2009 Vasilaki E, Frémaux N, Urbanczik R, Senn W, Gerstner W. Spike-based reinforcement learning in continuous state and action space: when policy gradient methods fail. Plos Computational Biology. 5: e1000586. PMID 19997492 DOI: 10.1371/Journal.Pcbi.1000586  0.743
2009 Urbanczik R, Senn W. A gradient learning rule for the tempotron. Neural Computation. 21: 340-52. PMID 19431262 DOI: 10.1162/Neco.2008.09-07-605  0.713
2009 Vladimirskiy BB, Vasilaki E, Urbanczik R, Senn W. Stimulus sampling as an exploration mechanism for fast reinforcement learning. Biological Cybernetics. 100: 319-30. PMID 19360435 DOI: 10.1007/S00422-009-0305-X  0.708
2009 Urbanczik R, Senn W. Reinforcement learning in populations of spiking neurons. Nature Neuroscience. 12: 250-2. PMID 19219040 DOI: 10.1038/Nn.2264  0.716
2008 Vasilaki E, Urbanczik R, Senn W, Gerstner W. Spike-based reinforcement learning of navigation Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P72  0.691
2008 Vladimirskiy B, Senn W, Urbanczik R. A hierarchical predictive coding model of visual processing Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P111  0.554
2003 Urbanczik R. Learning curves for mutual information maximization. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 68: 016106. PMID 12935199  0.368
2001 Opper M, Urbanczik R. Universal learning curves of support vector machines. Physical Review Letters. 86: 4410-3. PMID 11328187 DOI: 10.1103/PhysRevLett.86.4410  0.303
2001 Bunzmann C, Biehl M, Urbanczik R. Efficiently learning multilayer perceptrons. Physical Review Letters. 86: 2166-9. PMID 11289881 DOI: 10.1103/Physrevlett.86.2166  0.301
2001 Opper M, Urbanczik R. Support vector machines learning noisy polynomial rules Physica a: Statistical Mechanics and Its Applications. 302: 110-118. DOI: 10.1016/S0378-4371(01)00446-0  0.301
2000 Urbanczik R. Online learning with ensembles. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 62: 1448-51. PMID 11088612 DOI: 10.1103/PhysRevE.62.1448  0.322
2000 Senn W, Urbanczik R. Similar nonleaky integrate-and-fire neurons with instantaneous couplings always synchronize Siam Journal On Applied Mathematics. 61: 1143-1155. DOI: 10.1137/S0036139998346038  0.598
1998 Urbanczik R. Multilayer perceptrons may learn simple rules quickly Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 58: 2298-2301.  0.406
1996 Urbanczik R. A Large Committee Machine Learning Noisy Rules Neural Computation. 8: 1267-1276.  0.333
1995 Urbanczik R. A fully connected committee machine learning unrealizable rules Journal of Physics a: Mathematical and General. 28: 7097-7104. DOI: 10.1088/0305-4470/28/24/010  0.343
1991 Urbanczik R. Learning temporal structures by continuous backpropagation Iee Conference Publication. 124-128.  0.343
Show low-probability matches.