Hidden neural states underlie canary song syntax

doi:10.1038/s41586-020-2397-3

GSTDTAP > 地球科学

DOI	10.1038/s41586-020-2397-3
	Hidden neural states underlie canary song syntax
	Bao, Han 1,2; Duan, Junlei 1,2; Jin, Shenchao 1,2; Lu, Xingda 1,2; Li, Pengxiong 1,2; Qu, Weizhi 1,2; Wang, Mingfeng 1,2,3; Novikova, Irina 4; Mikhailov, Eugeniy E.4; Zhao, Kai-Feng 5,6; Molmer, Klaus 7; Shen, Heng 8,9; Xiao, Yanhong 1,2,8
	2020-05-01
发表期刊	NATURE
ISSN	0028-0836
EISSN	1476-4687
出版年	2020
文章类型	Article;Early Access
语种	英语
国家	USA
英文关键词	Neurons in the canary premotor cortex homologue encode past song phrases and transitions, carrying information relevant to future choice of phrases as ' hidden states' during song. Coordinated skills such as speech or dance involve sequences of actions that follow syntactic rules in which transitions between elements depend on the identities and order of past actions. Canary songs consist of repeated syllables called phrases, and the ordering of these phrases follows long-range rules(1)in which the choice of what to sing depends on the song structure many seconds prior. The neural substrates that support these long-range correlations are unknown. Here, using miniature head-mounted microscopes and cell-type-specific genetic tools, we observed neural activity in the premotor nucleus HVC(2-4)as canaries explored various phrase sequences in their repertoire. We identified neurons that encode past transitions, extending over four phrases and spanning up to four seconds and forty syllables. These neurons preferentially encode past actions rather than future actions, can reflect more than one song history, and are active mostly during the rare phrases that involve history-dependent transitions in song. These findings demonstrate that the dynamics of HVC include ' hidden states' that are not reflected in ongoing behaviour but rather carry information about prior actions. These states provide a possible substrate for the control of syntax transitions governed by long-range rules.
领域	地球科学 ; 气候变化 ; 资源环境
收录类别	SCI-E
WOS记录号	WOS:000541024900006
WOS关键词	SEQUENCES ; NEURONS ; GENERATION ; NETWORKS ; PROTEINS ; DYNAMICS ; OUTPUT
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/280973
专题	地球科学资源环境科学气候变化
作者单位	1.Fudan Univ, Minist Educ, State Key Lab Surface Phys, Dept Phys, Shanghai, Peoples R China; 2.Fudan Univ, Minist Educ, Key Lab Micro & Nano Photon Struct, Shanghai, Peoples R China; 3.Wenzhou Univ, Dept Phys, Wenzhou, Zhejiang, Peoples R China; 4.Coll William & Mary, Dept Phys, Williamsburg, VA 23185 USA; 5.Fudan Univ, Minist Educ, Key Lab, Appl Ion Beam Phys Lab, Shanghai, Peoples R China; 6.Fudan Univ, Inst Modern Phys, Shanghai, Peoples R China; 7.Aarhus Univ, Dept Phys & Astron, Aarhus, Denmark; 8.Shanxi Univ, State Key Lab Quantum Optic & Quantum Optic Devic, Taiyuan, Peoples R China; 9.Univ Oxford, Clarendon Lab, Oxford, England
推荐引用方式 GB/T 7714	Bao, Han,Duan, Junlei,Jin, Shenchao,et al. Hidden neural states underlie canary song syntax[J]. NATURE,2020.
APA	Bao, Han.,Duan, Junlei.,Jin, Shenchao.,Lu, Xingda.,Li, Pengxiong.,...&Xiao, Yanhong.(2020).Hidden neural states underlie canary song syntax.NATURE.
MLA	Bao, Han,et al."Hidden neural states underlie canary song syntax".NATURE (2020).