Université de Nice Sophia Antipolis, LJAD, Faculté des sciences, Parc Valrose, 06100 Nice, France.
J R Soc Interface. 2012 Nov 7;9(76):3129-39. doi: 10.1098/rsif.2012.0512. Epub 2012 Aug 1.
We propose a model that captures the dynamics of a carnivorous plant, Utricularia inflata. This plant possesses tiny traps for capturing small aquatic animals. Glands pump water out of the trap, yielding a negative pressure difference between the plant and its surroundings. The trap door is set into a meta-stable state and opens quickly as an extra pressure is generated by the displacement of a potential prey. As the door opens, the pressure difference sucks the animal into the trap. We write an ODE model that captures all the physics at play. We show that the dynamics of the plant is quite similar to neuronal dynamics and we analyse the effect of a white noise on the dynamics of the trap.
我们提出了一个模型，用于描述狸藻类植物的动态。这种植物有微小的陷阱来捕捉小型水生动物。腺体会将水从陷阱中抽出，导致植物及其周围环境之间产生负压差。陷阱门处于亚稳态，当一个潜在的猎物的位移产生额外的压力时，门会迅速打开。当门打开时，压差会将动物吸入陷阱中。我们编写了一个 ODE 模型来捕捉所有起作用的物理过程。我们发现植物的动力学与神经元动力学非常相似，并且分析了白噪声对陷阱动力学的影响。
