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A task-level model for optomotor yaw regulation in drosophila melanogaster: A frequency-domain system identification approach

机译:果蝇果蝇光偏航调节的任务级模型:频域系统识别方法

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Fruit flies adeptly coordinate flight maneuvers to seek, avoid, or otherwise interact with salient objects in their environment. In the laboratory, tethered flies modulate yaw torque to steer towards a dark vertical visual stimulus. This stripe-fixation behavior is robust and repeatable, making it a powerful paradigm for the study of optomotor control in flies. In this work, we study stripe fixation through a series of closed-loop perturbation experiments; flies are observed stabilizing moving stripes oscillating over a range of frequencies. A system identification analysis of input-output data furnishes a frequency response function (FRF), a nonparametric description of the behavior. We parameterize this FRF description to hypothesize a Proportional-Integral-Derivative (PID) control model for the fixation behavior. Lastly, we revisit previous work in which discrepancies in open- and closed-loop performance in stripe fixation were used to support the reafference principle.We demonstrate that our hypothesized PID model (with a modest biologically plausible nonlinearity) provides a more parsimonious explanation for these previously reported discrepancies.
机译:果蝇善于协调飞行动作,以寻找,避免其周围环境中的重要物体或与之交互。在实验室中,束缚的苍蝇调节偏航扭矩以转向黑暗的垂直视觉刺激。这种条带固定行为是鲁棒的和可重复的,使其成为研究苍蝇的光动力控制的强大范例。在这项工作中,我们通过一系列闭环摄动实验研究条带固定。观察到苍蝇稳定了在一定频率范围内振荡的运动条纹。输入输出数据的系统识别分析提供了频率响应函数(FRF),这是行为的非参数描述。我们参数化此FRF描述以假设固定行为的比例-积分-微分(PID)控制模型。最后,我们回顾了以前的工作,其中使用条带固定中开环和闭环性能的差异来支持重复原理。我们证明了我们假设的PID模型(具有适度的生物学上合理的非线性)为这些提供了更简化的解释先前报告的差异。

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