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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...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Schiess, Mathieu, Urbanczik, Robert, Senn, Walter
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Springer 2012
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC3365869/
https://ncbi.nlm.nih.gov/pubmed/22657827
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/2190-8567-2-2
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