Watching an ambiguous image leads to the bistability of its perception, that randomly oscillates between two possible interpretations. The relevant evolution of the neuron system is usually described with the equation of its “movement” over the nonuniform energy landscape under the action of the stochastic force, corresponding to noise perturbations. We utilize the alternative (and simpler) approach suggesting that the system is in the quasi-stationary state being described by the Arrhenius equation. The latter, in fact, determines the probability of the dynamical variation of the image being percepted (for example, the left Necker cube \(\leftrightarrow\) the right Necker cube) along one scenario or another. Probabilities of transitions from one perception to another are defined by barriers detaching corresponding wells of the energy landscape, and the relative value of the noise (analog of temperature) influencing this process. The mean noise value could be estimated from experimental data. The model predicts logarithmic dependence of the perception hysteresis width on the period of cyclic sweeping the parameter, controlling the perception (for instance, the contrast of the presented object). It agrees with the experiment and allows to estimate the time interval between two various perceptions.

中文翻译：

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对模糊图像的双稳态感知：简单的Arrhenius模型。

观看模棱两可的图像会导致其感知的双稳态，这会在两种可能的解释之间随机波动。神经系统的相关演化通常用在随机力（对应于噪声扰动）作用下在非均匀能量分布上的“运动”方程式来描述。我们利用替代（且更简单）的方法，表明系统处于由Arrhenius方程描述的准平稳状态。实际上，后者确定了感知到的图像动态变化的可能性（例如，左Necker立方体\（\ leftrightarrow \）正确的Necker多维数据集）。从一个感知转变为另一种感知的可能性是由使能量景观的相应井脱离的障碍以及影响此过程的噪声的相对值（温度的模拟）来定义的。可以从实验数据估计平均噪声值。该模型预测了感知滞后宽度的对数依赖关系，即周期性扫描参数，控制感知（例如，所呈现对象的对比度）。它与实验相符，可以估计两种不同感知之间的时间间隔。