Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses

DOI10.1162/neco_a_01238zbMath1429.92032OpenAlexW2980764939WikidataQ90718176 ScholiaQ90718176MaRDI QIDQ5214407

Xi Wu, Mengwen Yuan, Rui Yan, Hua Jin Tang

Publication date: 7 February 2020

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco_a_01238

zbMATH Keywords

reinforcement learningsynaptic plasticityspiking neural networksstochastic synapsesdeterministic synapses

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Memory and learning in psychology (91E40)

Cites Work

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• Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
• A Spiking Neural Network Model of an Actor-Critic Learning Agent
• SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks
• A Spiking Neural Model for Stable Reinforcement of Synapses Based on Multiple Distal Rewards

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