Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses.

Neural Computation(2019)

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摘要
Though succeeding in solving various learning tasks, most existing reinforcement learning (RL) models have failed to take into account the complexity of synaptic plasticity in the neural system. Models implementing reinforcement learning with spiking neurons involve only a single plasticity mechanism. Here, we propose a neural realistic reinforcement learning model that coordinates the plasticitie...
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