Amador Ana, Mindlin Gabriel B
Department of Physics, University of Buenos Aires, Buenos Aires, Argentina.
IFIBA, CONICET, Buenos Aires, Argentina.
Front Neurosci. 2021 Jul 5;15:647978. doi: 10.3389/fnins.2021.647978. eCollection 2021.
Birdsong is a complex vocal behavior, which emerges out of the interaction between a nervous system and a highly nonlinear vocal device, the syrinx. In this work we discuss how low dimensional dynamical systems, interpretable in terms of the biomechanics involved, are capable of synthesizing realistic songs. We review the experimental and conceptual steps that lead to the formulation of low dimensional dynamical systems for the song system and describe the tests that quantify their success. In particular, we show how to evaluate computational models by comparing the responses of highly selective neurons to the bird's own song and to synthetic copies generated mathematically. Beyond testing the hypothesis behind the model's construction, these low dimensional models allow designing precise stimuli in order to explore the sensorimotor integration of acoustic signals.
鸟鸣是一种复杂的发声行为，它产生于神经系统与高度非线性的发声器官——鸣管之间的相互作用。在这项工作中，我们讨论了从所涉及的生物力学角度可解释的低维动力系统如何能够合成逼真的鸟鸣声。我们回顾了导致为鸟鸣系统制定低维动力系统的实验和概念步骤，并描述了量化其成功程度的测试。特别是，我们展示了如何通过比较高选择性神经元对鸟类自身歌声和数学生成的合成副本的反应来评估计算模型。除了检验模型构建背后的假设之外，这些低维模型还允许设计精确的刺激，以便探索声信号的感觉运动整合。
