Neural mechanisms underlying the temporal organization of naturalistic animal behavior.
Neural mechanisms underlying the temporal organization of naturalistic animal behavior.
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DOI：
10.7554/elife.76577
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发表时间：
2022-07-06
期刊：
影响因子：
7.7
通讯作者：
Mazzucato, Luca
中科院分区：
文献类型：
--
作者：
Mazzucato, Luca
自然动物行为在时间域中表现出极其复杂的组织，其变异性至少来自三个来源：层次性、情境性和随机性。如此复杂的时间特征背后的神经机制和计算原理是什么？在这篇综述中，我们对自然行为的时间变异性来源的现有行为和神经生理学证据进行了批判性评估。最近的研究集中在基于吸引子神经网络和亚稳态动力学的新兴时间变异机制理论上，该理论是通过介观神经回路之间的协调相互作用而产生的。我们强调了结构异质性以及介观反馈环路的噪声在调节灵活行为中所发挥的关键作用。我们评估了当前理论和实验文献中的缺点和缺失环节，并提出了新的研究方向来填补这些空白。
Naturalistic animal behavior exhibits a strikingly complex organization in the temporal domain, with variability arising from at least three sources: hierarchical, contextual, and stochastic. What neural mechanisms and computational principles underlie such intricate temporal features? In this review, we provide a critical assessment of the existing behavioral and neurophysiological evidence for these sources of temporal variability in naturalistic behavior. Recent research converges on an emergent mechanistic theory of temporal variability based on attractor neural networks and metastable dynamics, arising via coordinated interactions between mesoscopic neural circuits. We highlight the crucial role played by structural heterogeneities as well as noise from mesoscopic feedback loops in regulating flexible behavior. We assess the shortcomings and missing links in the current theoretical and experimental literature and propose new directions of investigation to fill these gaps.