A neural algorithm for Drosophila linear and nonlinear decision-making
Zhao, Feifei1; Zeng, Yi1,2,3,4; Guo, Aike2,4,5,6,7,8; Su, Haifeng2,5,6,9; Xu, Bo1,2,4
发表期刊SCIENTIFIC REPORTS
ISSN2045-2322
2020-10-29
卷号10期号:1页码:16
通讯作者Zeng, Yi(yi.zeng@ia.ac.cn) ; Guo, Aike(akguo@ion.ac.cn)
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.
DOI10.1038/s41598-020-75628-y
关键词[WOS]PATTERN-RECOGNITION ; DOPAMINE ; NEURONS ; MEMORY ; MODEL ; BODY ; MECHANISM ; SPARSE ; REWARD ; ROLES
收录类别SCI
语种英语
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]
项目资助者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
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:000587692300057
出版者NATURE RESEARCH
七大方向——子方向分类类脑模型与计算
引用统计
被引频次:9[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/41725
专题复杂系统认知与决策实验室_听觉模型与认知计算
类脑智能研究中心
数字内容技术与服务研究中心
通讯作者Zeng, Yi; Guo, Aike
作者单位1.Chinese Acad Sci, Inst Automat, Res Ctr Braininspired Intelligence, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Chinese Acad Sci, Inst Neurosci, Shanghai 200031, Peoples R China
6.Chinese Acad Sci, Shanghai Inst Biol Sci, State Key Lab Neurosci, Shanghai 200031, Peoples R China
7.Chinese Acad Sci, Inst Biophys, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China
8.Shanghai Inst Microsyst & Informat Technol, Shanghai 200050, Peoples R China
9.Shanghai Univ, Sch Life Sci, Lab Mol Neural Biol, Shanghai 200444, Peoples R 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
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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.
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