A neural algorithm for Drosophila linear and nonlinear decision-making

doi:10.1038/s41598-020-75628-y

CORC > 自动化研究所 > 中国科学院自动化研究所 > 数字内容技术与服务研究中心 > 听觉模型与认知计算

	A neural algorithm for Drosophila linear and nonlinear decision-making
	Zhao, Feifei 5; Zeng, Yi 5,6,7,9; Guo, Aike 1,2,4,7,8,9; Su, Haifeng 1,3,7,8; Xu, Bo 5,7,9
刊名	SCIENTIFIC REPORTS
	2020-10-29
卷号	10 期号:1 页码:16
ISSN号	2045-2322
DOI	10.1038/s41598-020-75628-y
通讯作者	Zeng, Yi(yi.zeng@ia.ac.cn) ; Guo, Aike(akguo@ion.ac.cn)
英文摘要	It has been evidenced that vision-based decision-making in Drosophila consists of both simple perceptual (linear) decision and value-based (non-linear) decision. This paper proposes a general computational spiking neural network (SNN) model to explore how different brain areas are connected contributing to Drosophila linear and nonlinear decision-making behavior. First, our SNN model could successfully describe all the experimental findings in fly visual reinforcement learning and action selection among multiple conflicting choices as well. Second, our computational modeling shows that dopaminergic neuron-GABAergic neuron-mushroom body (DA-GABA-MB) works in a recurrent loop providing a key circuit for gain and gating mechanism of nonlinear decision making. Compared with existing models, our model shows more biologically plausible on the network design and working mechanism, and could amplify the small differences between two conflicting cues more clearly. Finally, based on the proposed model, the UAV could quickly learn to make clear-cut decisions among multiple visual choices and flexible reversal learning resembling to real fly. Compared with linear and uniform decision-making methods, the DA-GABA-MB mechanism helps UAV complete the decision-making task with fewer steps.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDB32070100] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB32010100] ; new generation of artificial intelligence major project of the Ministry of Science and Technology of the People's Republic of China[2020AAA0104305] ; Beijing Municipal Commission of Science and Technology[Z181100001518006] ; Key Research Program of Frontier Sciences, CAS[ZDBS-LY-JSC013] ; Key Research Program of Frontier Sciences, CAS[QYZDYSSW-SMC015] ; CETC Joint Fund[6141B08010103] ; Beijing Academy of Artificial Intelligence (BAAI) ; Shanghai Municipal Science and Technology Major Project[2018SHZDZX05] ; Strategic Priority Research Program of Chinese Academy of Science[XDB32010100] ; State Key Laboratory of Neuroscience ; National Natural Science Foundation of China[92032000]
WOS关键词	PATTERN-RECOGNITION ; DOPAMINE ; NEURONS ; MEMORY ; MODEL ; BODY ; MECHANISM ; SPARSE ; REWARD ; ROLES
WOS研究方向	Science & Technology - Other Topics
语种	英语
出版者	NATURE RESEARCH
WOS记录号	WOS:000587692300057
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; new generation of artificial intelligence major project of the Ministry of Science and Technology of the People's Republic of China ; Beijing Municipal Commission of Science and Technology ; Key Research Program of Frontier Sciences, CAS ; CETC Joint Fund ; Beijing Academy of Artificial Intelligence (BAAI) ; Shanghai Municipal Science and Technology Major Project ; Strategic Priority Research Program of Chinese Academy of Science ; State Key Laboratory of Neuroscience ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/41724]
专题	数字内容技术与服务研究中心_听觉模型与认知计算
通讯作者	Zeng, Yi; Guo, Aike
作者单位	1.Chinese Acad Sci, Inst Neurosci, Shanghai 200031, Peoples R China 2.Shanghai Inst Microsyst & Informat Technol, Shanghai 200050, Peoples R China 3.Shanghai Univ, Sch Life Sci, Lab Mol Neural Biol, Shanghai 200444, Peoples R China 4.Chinese Acad Sci, Inst Biophys, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China 5.Chinese Acad Sci, Inst Automat, Res Ctr Braininspired Intelligence, Beijing 100190, Peoples R China 6.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 7.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China 8.Chinese Acad Sci, Shanghai Inst Biol Sci, State Key Lab Neurosci, Shanghai 200031, Peoples R China 9.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Feifei,Zeng, Yi,Guo, Aike,et al. A neural algorithm for Drosophila linear and nonlinear decision-making[J]. SCIENTIFIC REPORTS,2020,10(1):16.
APA	Zhao, Feifei,Zeng, Yi,Guo, Aike,Su, Haifeng,&Xu, Bo.(2020).A neural algorithm for Drosophila linear and nonlinear decision-making.SCIENTIFIC REPORTS,10(1),16.
MLA	Zhao, Feifei,et al."A neural algorithm for Drosophila linear and nonlinear decision-making".SCIENTIFIC REPORTS 10.1(2020):16.