Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation

doi:10.1109/TCDS.2018.2843563

	Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation
	Huang, Xiao1,2 ; Wu, Wei1,2 ; Qiao, Hong2,3,4 ; Ji, Yidao 5
刊名	IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
	2018-12-01
卷号	10 期号:4 页码:1153-1164
关键词	Brain-inspired model emotion motion learning recurrent neural network (RNN)
ISSN号	2379-8920
DOI	10.1109/TCDS.2018.2843563
通讯作者	Qiao, Hong(hong.qiao@ia.ac.cn)
英文摘要	Based on basic emotion modulation theory and the neural mechanisms of generating complex motor patterns, we introduce a novel emotion-modulated learning rule to train a recurrent neural network, which enables a complex musculoskeletal arm and a robotic arm to perform goal-directed tasks with high accuracy and learning efficiency. Specifically, inspired by the fact that emotions can modulate the process of learning and decision making through neuromodulatory system, we present a model of emotion generation and modulation to adjust the parameters of learning adaptively, including the reward prediction error, the speed of learning, and the randomness in action selection. Additionally, we use Oja learning rule to adjust the recurrent weights in delayed-reinforcement tasks, which outperforms the Hebbian update rule in terms of stability and accuracy. In the experimental section, we use a musculoskeletal model of the human upper limb and a robotic arm to perform goal-directed tasks through trial-and-reward learning, respectively. The results show that emotion-based methods are able to control the arm with higher accuracy and a faster learning rate. Meanwhile, emotional Oja agent is superior to emotional Hebbian one in term of performance.
资助项目	Development of Science and Technology of Guangdong province Special Fund Project[2016B090910001] ; Strategic Priority Research Program of CAS[XDB02080003] ; Beijing Municipal Science and Technology[D16110400140000] ; Beijing Municipal Science and Technology[D161100001416001] ; National Natural Science Foundation of China[61210009] ; National Natural Science Foundation of China[61627808] ; National Natural Science Foundation of China[91648205] ; National Natural Science Foundation of China[51705515] ; National Natural Science Foundation of China[U1713201] ; National Natural Science Foundation of China[61702516]
WOS关键词	MODEL ; GENERATION ; COGNITION ; MEMORY ; REORGANIZATION ; ACETYLCHOLINE ; ALGORITHMS ; PLASTICITY ; NEURONS ; SIGNALS
WOS研究方向	Computer Science ; Robotics ; Neurosciences & Neurology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000452636400029
资助机构	Development of Science and Technology of Guangdong province Special Fund Project ; Strategic Priority Research Program of CAS ; Beijing Municipal Science and Technology ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/25679]
专题	中国科学院自动化研究所
通讯作者	Qiao, Hong
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techn, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Cloud Comp Ctr, Beijing 100190, Peoples R China 5.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Huang, Xiao,Wu, Wei,Qiao, Hong,et al. Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation[J]. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS,2018,10(4):1153-1164.
APA	Huang, Xiao,Wu, Wei,Qiao, Hong,&Ji, Yidao.(2018).Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation.IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS,10(4),1153-1164.
MLA	Huang, Xiao,et al."Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation".IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS 10.4(2018):1153-1164.