R. Urbanczik

发表

Learning by the Dendritic Prediction of Somatic Spiking

W. Senn, R. Urbanczik, 2014, Neuron.

Reinforcement learning in populations of spiking neurons

W. Senn, R. Urbanczik, 2008, Nature Neuroscience.

SELF-AVERAGING AND ON-LINE LEARNING

R. Urbanczik, G. Reents, 1998, cond-mat/9805339.

Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail

Wulfram Gerstner, Walter Senn, Robert Urbanczik, 2009, PLoS Comput. Biol..

Spatio-Temporal Credit Assignment in Neuronal Population Learning

Walter Senn, Robert Urbanczik, Johannes Friedrich, 2011, PLoS Comput. Biol..

Walter Senn, Robert Urbanczik, W. Senn, 2001, SIAM J. Appl. Math..

Temporal stimulus segmentation by reinforcement learning in populations of spiking neurons

W. Senn, R. Urbanczik, G. L. Camera, 2020, bioRxiv.

Learning in a large committee machine: worst case and average case

R. Urbanczik, 1996 .

LETTER TO THE EDITOR: Noisy regression and classification with continuous multilayer networks

Michael Biehl, R. Urbanczik, M. Ahr, 1999, cond-mat/9907340.

Enumerating constrained elementary flux vectors of metabolic networks.

R. Urbanczik, 2007, IET systems biology.

LETTER TO THE EDITOR: Storage capacity of the fully-connected committee machine

R. Urbanczik, 1997 .

LETTER TO THE EDITOR: On-line learning in a discrete state space

W. Kinzel, R. Urbanczik, 1997, cond-mat/9705257.

MULTILAYER PERCEPTRONS MAY LEARN SIMPLE RULES QUICKLY

R. Urbanczik, 1998 .

Statistical physics of independent component analysis

R. Urbanczik, 2003, cond-mat/0309484.

LETTER TO THE EDITOR: Noisy regression and classification with continuous multilayer networks

Michael Biehl, R. Urbanczik, M. Ahr, 1999, cond-mat/9907340.

Statistical physics and practical training of soft-committee machines

Michael Biehl, R. Urbanczik, M. Ahr, 1998, cond-mat/9812197.

SELF-AVERAGING AND ON-LINE LEARNING

R. Urbanczik, G. Reents, 1998, cond-mat/9805339.

Learning curves for mutual information maximization.

R. Urbanczik, 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

Hierarchical Novelty-Familiarity Representation in the Visual System by Modular Predictive Coding

Walter Senn, Robert Urbanczik, Boris B. Vladimirskiy, 2015, PloS one.

Somato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites

Walter Senn, Robert Urbanczik, Mathieu Schiess, 2016, PLoS Comput. Biol..

A Normative Theory of Forgetting: Lessons from the Fruit Fly

Johanni Brea, Walter Senn, Robert Urbanczik, 2014, PLoS Comput. Biol..

Scale-Free Navigational Planning by Neuronal Traveling Waves

Walter Senn, Robert Urbanczik, Azadeh Khajeh-Alijani, 2015, PloS one.

The geometry of the flux cone of a metabolic network.

Robert Urbanczik, Clemens Wagner, R. Urbanczik, 2005, Biophysical journal.

Code-Specific Learning Rules Improve Action Selection by Populations of Spiking Neurons

Walter Senn, Robert Urbanczik, Johannes Friedrich, 2014, Int. J. Neural Syst..

Learning Spike-Based Population Codes by Reward and Population Feedback

Walter Senn, Robert Urbanczik, Johannes Friedrich, 2010, Neural Computation.

On-line learning in a discrete state space

W. Kinzel, R. Urbanczik, 1997, cond-mat/9705257.

Stimulus sampling as an exploration mechanism for fast reinforcement learning

Walter Senn, Robert Urbanczik, Eleni Vasilaki, 2009, Biological Cybernetics.

An improved algorithm for stoichiometric network analysis: theory and applications

Robert Urbanczik, C. Wagner, R. Urbanczik, 2005, Bioinform..

Support vector machines learning noisy polynomial rules

M. Opper, R. Urbanczik, 2001 .

Functional stoichiometric analysis of metabolic networks

Robert Urbanczik, C. Wagner, R. Urbanczik, 2005, Bioinform..

Prospective Coding by Spiking Neurons

Johanni Brea, Walter Senn, Robert Urbanczik, 2016, PLoS Comput. Biol..

Correction: Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail

W. Senn, W. Gerstner, R. Urbanczik, 2009, PLoS Computational Biology.

Gradient estimation in dendritic reinforcement learning

Walter Senn, Robert Urbanczik, Mathieu Schiess, 2012, Journal of mathematical neuroscience.

Storage Capacity of the Tree-Structured Committee Machine with Discrete Weights

R. Urbanczik, 1994 .

Statistical mechanics of mutual information maximization

R. Urbanczik, R. Urbanczik, 2000 .

Learning by the Dendritic Prediction of Somatic Spiking

W. Senn, R. Urbanczik, 2014, Neuron.

Pyruvate metabolism in rat liver mitochondria

R. Urbanczik, J. Stucki, 2005, The FEBS journal.