论文标题
自然动物行为的时间组织的神经机制
Neural mechanisms underlying the temporal organization of naturalistic animal behavior
论文作者
论文摘要
自然主义的动物行为在时间领域表现出一个惊人的复杂组织，其可变性源于至少三个来源：等级，上下文和随机。哪些神经机制和计算原理产生了如此复杂的时间特征？在这篇综述中，我们对自然主义行为的这些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。我们将最近的研究结晶了，该研究是基于吸引子神经网络和亚稳态动力学的新兴机械理论，这是由于中镜神经回路之间的协调相互作用而引起的。我们强调了结构异质性和介质电路中产生的噪声所扮演的关键作用。我们评估当前理论和实验文献中的缺点和缺失的联系，并提出了新的研究方向以填补这些空白。
Naturalistic animal behavior exhibits a strikingly complex organization in the temporal domain, whose variability stems from at least three sources: hierarchical, contextual, and stochastic. What are the neural mechanisms and computational principles generating such complex 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. We crystallize recent studies which converge on an emergent mechanistic theory of temporal variability based on attractor neural networks and metastable dynamics, arising from the coordinated interactions between mesoscopic neural circuits. We highlight the crucial role played by structural heterogeneities and by noise arising in mesoscopic circuits. We assess the shortcomings and missing links in the current theoretical and experimental literature and propose new directions of investigations to fill these gaps.
