Amador Ana, Boari Santiago, Mindlin Gabriel B
Physics Department, FCEyN, Universidad de Buenos Aires, and IFIBA Conicet Int. Guiraldes 2160, Pab.1, Ciudad Universitaria, (1428) Buenos Aires, Argentina.
Curr Opin Syst Biol. 2017 Jun;3:30-35. doi: 10.1016/j.coisb.2017.03.004. Epub 2017 Apr 1.
Birdsong emerges when a set of highly interconnected brain areas manage to generate a complex output. This consists of precise respiratory rhythms as well as motor instructions to control the vocal organ configuration. In this way, during birdsong production, dedicated cortical areas interact with life-supporting ones in the brainstem, such as the respiratory nuclei. We discuss an integrative view of this interaction together with a widely accepted "top-down" representation of the song system. We also show that a description of this neural network in terms of dynamical systems allows to explore songbird production and processing by generating testable predictions.
当一组高度相互连接的脑区成功产生复杂输出时，鸟鸣就会出现。这包括精确的呼吸节律以及控制发声器官构型的运动指令。通过这种方式，在鸟鸣产生过程中，专门的皮层区域与脑干中维持生命的区域相互作用，比如呼吸核团。我们将讨论这种相互作用的综合观点以及对鸣唱系统广泛接受的“自上而下”表征。我们还表明，用动态系统来描述这个神经网络能够通过生成可测试的预测来探索鸣禽的发声和处理过程。
