序列(生物学)
神经科学
集合(抽象数据类型)
计算机科学
生物
遗传学
程序设计语言
作者
Qingqing Liu,Xing Sheng Yang,Moxuan Luo,Junying Su,Jinling Zhong,Xiaofen Li,Rosa H. M. Chan,Liping Wang
出处
期刊:Neuron
[Elsevier]
日期:2023-05-01
卷期号:111 (10): 1651-1665.e5
被引量:8
标识
DOI:10.1016/j.neuron.2023.02.025
摘要
Feeding requires sophisticated orchestration of neural processes to satiate appetite in natural, capricious settings. However, the complementary roles of discrete neural populations in orchestrating distinct behaviors and motivations throughout the feeding process are largely unknown. Here, we delineate the behavioral repertoire of mice by developing a machine-learning-assisted behavior tracking system and show that feeding is fragmented and divergent motivations for food consumption or environment exploration compete throughout the feeding process. An iterative activation sequence of agouti-related peptide (AgRP)-expressing neurons in arcuate (ARC) nucleus, GABAergic neurons in the lateral hypothalamus (LH), and in dorsal raphe (DR) orchestrate the preparation, initiation, and maintenance of feeding segments, respectively, via the resolution of motivational conflicts. The iterative neural processing sequence underlying the competition of divergent motivations further suggests a general rule for optimizing goal-directed behaviors.
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