Gradient estimation in dendritic reinforcement learning

We study synaptic plasticity in a complex neuronal cell model where NMDA-spikes can arise in certain dendritic zones. In the context of reinforcement learning, two kinds of plasticity rules are derived, zone reinforcement (ZR) and cell reinforcement (CR), which both optimize the expected reward by s...

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Veröffentlicht in:	Journal of mathematical neuroscience 2012-02, Vol.2 (1), p.2-2, Article 2
Hauptverfasser:	Schiess, Mathieu, Urbanczik, Robert, Senn, Walter
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications of Mathematics Mathematical Modeling and Industrial Mathematics Mathematics Mathematics and Statistics Neurosciences
Online-Zugang:	Volltext
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