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A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle | |
Zhao Feifei1,2; Zeng Yi1,2,3,4; Xu Bo1,2,4 | |
发表期刊 | Frontiers in Neurorobotics |
ISSN | 1662-5218 |
2018-09 | |
期号 | 12页码:56 |
文章类型 | 期刊论文 |
摘要 | Decision-making is a crucial cognitive function for various animal species surviving in nature, and it is also a fundamental ability for intelligent agents. To make a step forward in the understanding of the computational mechanism of human-like decision-making, this paper proposes a brain-inspired decision-making spiking neural network (BDM-SNN) and applies it to decision-making tasks on intelligent agents. This paper makes the following contributions: (1) A spiking neural network (SNN) is used to model human decision-making neural circuit from both connectome and functional perspectives. (2) The proposed model combines dopamine and spike-timing-dependent plasticity (STDP) mechanisms to modulate the network learning process, which indicates more biological inspiration. (3) The model considers the effects of interactions among sub-areas in PFC on accelerating the learning process.(4) The proposed model can be easily applied to decision-making tasks in intelligent agents, such as an unmanned aerial vehicle (UAV) flying through a window and a UAV avoiding an obstacle. The experimental results support the effectiveness of the model. Compared with traditional reinforcement learning and existing biologically inspired methods, our method contains more biologically-inspired mechanistic principles, has greater accuracy and is faster. |
关键词 | Spiking Neural Network Brain-inspired Decision-making Dopamine Regulation Multiple Brain Areas Coordination Reinforcement Learning UAV Autonomous Learning |
收录类别 | SCI |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23363 |
专题 | 脑图谱与类脑智能实验室_类脑认知计算 |
通讯作者 | Zeng Yi |
作者单位 | 1.Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.University of Chinese Academy of Sciences, Beijing, China 3.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China 4.Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所; 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Zhao Feifei,Zeng Yi,Xu Bo. A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle[J]. Frontiers in Neurorobotics,2018(12):56. |
APA | Zhao Feifei,Zeng Yi,&Xu Bo.(2018).A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle.Frontiers in Neurorobotics(12),56. |
MLA | Zhao Feifei,et al."A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle".Frontiers in Neurorobotics .12(2018):56. |
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