Robert Urbanczik
occupation: researcher
Articles 22
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Somato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites
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Prospective Coding by Spiking Neurons
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Scale-Free Navigational Planning by Neuronal Traveling Waves
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Hierarchical Novelty-Familiarity Representation in the Visual System by Modular Predictive Coding
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A normative theory of forgetting: lessons from the fruit fly
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Modulation of orientation-selective neurons by motion: when additive, when multiplicative?
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Learning by the dendritic prediction of somatic spiking.
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Code-specific learning rules improve action selection by populations of spiking neurons.
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Gradient estimation in dendritic reinforcement learning
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Spatio-temporal credit assignment in neuronal population learning
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Reinforcement learning in dendritic structures.
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Learning spike-based population codes by reward and population feedback.
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Spike-based reinforcement learning in continuous state and action space: when policy gradient methods fail
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A gradient learning rule for the tempotron.
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Stimulus sampling as an exploration mechanism for fast reinforcement learning.
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Reinforcement learning in populations of spiking neurons.
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Correction: Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail
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SNA--a toolbox for the stoichiometric analysis of metabolic networks
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The geometry of the flux cone of a metabolic network
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Pyruvate metabolism in rat liver mitochondria. What is optimized at steady state?
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Efficient training of multilayer perceptrons using principal component analysis.
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Asymptotic Universality for Learning Curves of Support Vector Machines
Human - wd:Q49264898