Robert Urbanczik

University of Bern — Switzerland

Computer Science · Physical Sciences

20h-index1.5kcitations57works0.02yr avg
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Research Topics

Neural Networks and Applications(23), Neural dynamics and brain function(22), Advanced Memory and Neural Computing(15), Neuroscience and Neural Engineering(8), Machine Learning and Algorithms(8)

Publications57 total

Temporal stimulus segmentation by reinforcement learning in populations of spiking neurons
Physical review. E·2026
Temporal stimulus segmentation by reinforcement learning in populations of spiking neurons
2020· 1 citedOpen Access
Prospective Coding by Spiking Neurons
PLoS Computational Biology·2016· 49 citedOpen Access
Somato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites
PLoS Computational Biology·2016· 85 citedOpen Access
Hierarchical Novelty-Familiarity Representation in the Visual System by Modular Predictive Coding
PLoS ONE·2015· 6 citedOpen Access
Scale-Free Navigational Planning by Neuronal Traveling Waves
PLoS ONE·2015· 26 citedOpen Access
Modulation of orientation-selective neurons by motion: when additive, when multiplicative?
Frontiers in Computational Neuroscience·2014Open Access
A Normative Theory of Forgetting: Lessons from the Fruit Fly
PLoS Computational Biology·2014· 34 citedOpen Access
Learning by the Dendritic Prediction of Somatic Spiking
Neuron·2014· 258 citedOpen Access
CODE-SPECIFIC LEARNING RULES IMPROVE ACTION SELECTION BY POPULATIONS OF SPIKING NEURONS
International Journal of Neural Systems·2013· 46 cited
Gradient estimation in dendritic reinforcement learning
The Journal of Mathematical Neuroscience·2012· 6 citedOpen Access
Policy gradient rules for populations of spiking neurons
BMC Neuroscience·2011· 1 citedOpen Access
Reinforcement learning in dendritic structures
BMC Neuroscience·2011· 1 citedOpen Access
Spatio-Temporal Credit Assignment in Neuronal Population Learning
PLoS Computational Biology·2011· 64 citedOpen Access
Learning Spike-Based Population Codes by Reward and Population Feedback
Neural Computation·2010· 16 citedOpen Access
Activity dependent modulation of plasticity in population learning
Bern Open Repository and Information System (University of Bern)·2010
Correction: Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail
PLoS Computational Biology·2009· 15 citedOpen Access
Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail
PLoS Computational Biology·2009· 112 citedOpen Access
Stimulus sampling as an exploration mechanism for fast reinforcement learning
Biological Cybernetics·2009· 3 citedOpen Access
Reinforcement learning in populations of spiking neurons
Nature Neuroscience·2009· 102 cited
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Frequent Co-authors

Walter Senn(22), Michael Biehl(5), Eleni Vasilaki(4), Johannes Friedrich(4), Christoph Bunzmann(4), Clemens Wagner(3), Wulfram Gerstner(3), Mathieu Schiess(3), Nicolas Frémaux(2), Johanni Brea(2), Manfred Opper(2), Jörg W. Stucki(2), Boris Vladimirskiy(2), Wolfgang Kinzel(2), G. Reents(1), Alexisz Tamás Gaál(1), Azadeh Khajeh-Alijani(1), M. Ahr(1), Martin Schröder(1), Luisa Le Donne(1)