Galvis Daniel, Wu Wei, Hyson Richard L, Johnson Frank, Bertram Richard
Department of Mathematics, Florida State University , Tallahassee, Florida.
Program in Neuroscience, Florida State University , Tallahassee, Florida.
J Neurophysiol. 2018 Sep 1;120(3):1186-1197. doi: 10.1152/jn.00153.2018. Epub 2018 Jun 20.
Male zebra finches produce a sequence-invariant set of syllables, separated by short inspiratory gaps. These songs are learned from an adult tutor and maintained throughout life, making them a tractable model system for learned, sequentially ordered behaviors, particularly speech production. Moreover, much is known about the cortical, thalamic, and brain stem areas involved in producing this behavior, with the premotor cortical nucleus HVC (proper name) being of primary importance. In a previous study, our group developed a behavioral neural network model for birdsong constrained by the structural connectivity of the song system, the signaling properties of individual neurons and circuits, and circuit-breaking behavioral studies. Here we describe a more computationally tractable model and use it to explain the behavioral effects of unilateral cooling and electrical stimulations of HVC on song production. The model demonstrates that interhemispheric switching of song control is sufficient to explain these results, consistent with the hypotheses proposed when the experiments were initially conducted. Finally, we use the model to make testable predictions that can be used to validate the model framework and explain the effects of other perturbations of the song system, such as unilateral ablations of the primary input and output nuclei of HVC. NEW & NOTEWORTHY In this report, we propose a two-hemisphere neural network model for the bilaterally symmetrical song system underlying birdsong in the male zebra finch. This model captures the behavioral effects of unilateral cooling and electrical stimulations of the premotor cortical nucleus HVC during song production, supporting the hypothesis of interhemispheric switching of song control. We use the model to make testable predictions regarding the behavioral effects of other unilateral perturbations to the song system.
雄性斑胸草雀会发出一组音节顺序固定的鸣声，音节之间由短暂的吸气间隙隔开。这些鸣声是从成年“导师”那里习得的，并会终生保持，这使得它们成为研究习得性、顺序性有序行为，特别是言语产生的一个易于处理的模型系统。此外，对于参与产生这种行为的皮质、丘脑和脑干区域，我们已经了解很多，其中前运动皮质核团HVC（专有名称）最为重要。在之前的一项研究中，我们的团队开发了一种用于鸟鸣的行为神经网络模型，该模型受到鸣唱系统的结构连接性、单个神经元和神经回路的信号特性以及断路行为研究的限制。在这里，我们描述了一个计算上更易于处理的模型，并使用它来解释HVC单侧冷却和电刺激对鸣唱产生的行为影响。该模型表明，鸣唱控制的半球间切换足以解释这些结果，这与最初进行实验时提出的假设一致。最后，我们使用该模型做出可检验的预测，这些预测可用于验证模型框架，并解释鸣唱系统其他扰动的影响，例如HVC主要输入和输出核团的单侧切除。新内容与值得注意之处 在本报告中，我们为雄性斑胸草雀鸟鸣背后的双侧对称鸣唱系统提出了一个双半球神经网络模型。该模型捕捉了鸣唱产生过程中前运动皮质核团HVC单侧冷却和电刺激的行为影响，支持了鸣唱控制半球间切换的假设。我们使用该模型对鸣唱系统其他单侧扰动的行为影响做出可检验的预测。
