DeepMind, London, UK.
Neuron. 2021 Feb 17;109(4):568-570. doi: 10.1016/j.neuron.2021.01.021.
In this issue of Neuron, Cross et. al (2021) use a deep reinforcement learning algorithm to understand human neural activation evoked by playing different video games. The results shed light on the neural principles underlying reward-guided decisions in naturalistic domains.
在本期《神经元》杂志中,Cross 等人(2021)使用深度强化学习算法来理解人类在玩不同视频游戏时产生的神经激活。研究结果揭示了自然领域中奖励引导决策的神经原理。