The emergence and influence of internal states.

The emergence and influence of internal states.
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DOI:
10.1016/j.neuron.2022.04.030
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发表时间:
2022-08-17
期刊:
影响因子:
16.2
通讯作者:
Zelikowsky, Moriel
Zelikowsky, Moriel
中科院分区:
医学1区
文献类型:
--
作者:
Flavell, Steven W.;Gogolla, Nadine;Lovett-Barron, Matthew;Zelikowsky, Moriel

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动物的行为是由各种“内部状态”塑造的——部分隐藏的变量深刻地塑造了感知、认知和行动。内部状态的神经基础,如恐惧、觉醒、饥饿、动机、攻击等,是跨动物门研究工作的突出焦点。内部状态可以从行为、生理和神经动力学的变化中推断出来,并以多效性、持久性、可扩展性、普遍性和价态等特性为特征。到目前为止,人们还不清楚神经系统是如何产生内部状态及其性质的。在这里,我们回顾了最近的进展,这是由行为量化,细胞操作和神经种群记录的进步所驱动的。我们综合研究了状态诱导细胞类型的定义子集,神经活动的广泛变化以及内部状态形成和更新中的神经调节。除了强调这些发现的重要性外,我们的综述还提倡采用新的方法来阐明动物王国内部大脑状态的基础。在这篇综述中,Flavell, Gogolla, Lovett-Barron和Zelikowsky综合了动物模型的研究,讨论了内部状态的分类,状态调节神经元的作用,以及不同状态对神经动力学和行为的影响
Animal behavior is shaped by a variety of “internal states” – partially hidden variables that profoundly shape perception, cognition, and action. The neural basis of internal states, such as fear, arousal, hunger, motivation, aggression, and many others, is a prominent focus of research efforts across animal phyla. Internal states can be inferred from changes in behavior, physiology, and neural dynamics and are characterized by properties such as pleiotropy, persistence, scalability, generalizability, and valence. To date, it remains unclear how internal states and their properties are generated by nervous systems. Here we review recent progress, which has been driven by advances in behavioral quantification, cellular manipulations, and neural population recordings. We synthesize research implicating defined subsets of state-inducing cell types, widespread changes in neural activity, and neuromodulation in the formation and updating of internal states. In addition to highlighting the significance of these findings, our review advocates for new approaches to clarify the underpinnings of internal brain states across the animal kingdom. In this review, Flavell, Gogolla, Lovett-Barron, and Zelikowsky synthesize research across animal models to discuss the classification of internal states, the roles of state-modulating neurons, and the impact of diverse states on neural dynamics and behavior
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