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Updated: Jun 3, 2025

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
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大脑启发的学习规则,用于基于神经网络的控制:一个教程

Choongseop Lee1, Yuntae Park1, Sungmin Yoon1

  • 1Department of Computer Engineering, Kwangwoon University, Seoul, 01897 Republic of Korea.

Biomedical engineering letters
|January 9, 2025
PubMed
概括

尖端神经网络为机器人控制提供了对深度神经网络的节能替代方案. 这篇评论探讨了大脑启发的学习规则,用于增强神经网络,以增强机器人的实时时空处理.

关键词:
控制问题 控制问题神经形态计算是一种神经形态计算.在R-STDP中,它是最重要的.强化学习是一种强化学习.峰值时间依赖的可塑性.尖的神经网络的神经网络.

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