Robert Urbanczik

According to our database1, Robert Urbanczik authored at least 17 papers between 1996 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2016
Somato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites.
PLoS Comput. Biol., 2016

Prospective Coding by Spiking Neurons.
PLoS Comput. Biol., 2016

2014
A Normative Theory of Forgetting: Lessons from the Fruit Fly.
PLoS Comput. Biol., 2014

Code-Specific Learning Rules Improve Action Selection by Populations of Spiking Neurons.
Int. J. Neural Syst., 2014

Modulation of orientation-selective neurons by motion: when additive, when multiplicative?
Frontiers Comput. Neurosci., 2014

2011
Spatio-Temporal Credit Assignment in Neuronal Population Learning.
PLoS Comput. Biol., 2011

2010
Learning Spike-Based Population Codes by Reward and Population Feedback.
Neural Comput., 2010

2009
Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail.
PLoS Comput. Biol., 2009

A Gradient Learning Rule for the Tempotron.
Neural Comput., 2009

Stimulus sampling as an exploration mechanism for fast reinforcement learning.
Biol. Cybern., 2009

2006
SNA - a toolbox for the stoichiometric analysis of metabolic networks.
BMC Bioinform., 2006

2005
Functional stoichiometric analysis of metabolic networks.
Bioinform., 2005

An improved algorithm for stoichiometric network analysis: theory and applications.
Bioinform., 2005

2002
Supervised learning in committee machines by PCA.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001
Similar NonLeaky Integrate-and-Fire Neurons with Instantaneous Couplings Always Synchronize.
SIAM J. Appl. Math., 2001

Asymptotic Universality for Learning Curves of Support Vector Machines.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

1996
A Large Committee Machine Learning Noisy Rules.
Neural Comput., 1996


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