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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
Source PublicationFrontiers in Neurorobotics
ISSN1662-5218
2018-09
Issue12Pages:56
Subtype期刊论文
Abstract

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.

KeywordSpiking Neural Network Brain-inspired Decision-making Dopamine Regulation Multiple Brain Areas Coordination Reinforcement Learning UAV Autonomous Learning
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23363
Collection类脑智能研究中心
Corresponding AuthorZeng Yi
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences;  Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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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