An implementation of reinforcement learning based on spike timing dependent plasticity

DOI10.1007/S00422-008-0265-6zbMath1153.92007DBLPjournals/bc/RobertsSL08OpenAlexW2089132957WikidataQ46304743 ScholiaQ46304743MaRDI QIDQ999443

Roberto A. Santiago, Gerardo Lafferriere, Patrick D. Roberts

Publication date: 3 February 2009

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00422-008-0265-6

zbMATH Keywords

learningcomputational neurosciencesynaptic plasticityspiking neuron model

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Neural biology (92C20)

Related Items (1)

On the Asymptotic Equivalence Between Differential Hebbian and Temporal Difference Learning

Cites Work

• Computational consequences of temporally asymmetric learning rules. I: Differential Hebbian learning
• Computational consequences of temporally asymmetric learning rules. II: Sensory image cancellation
• Temporal Difference Model Reproduces Anticipatory Neural Activity

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