How cells utilize surface receptors for chemoreception is a recurrent question spanning between physics and biology over the past few decades. However, the dynamical mechanism for processing time-varying signals is still unclear. Using dynamical systems formalism to describe criticality in non-equilibrium systems, we propose generic principle for temporal information processing through phase space trajectories using dynamic transient memory. In contrast to short-term memory, dynamic memory generated via "ghost" attractor enables signal integration depending on stimulus history and thereby uniquely promotes integrating and interpreting complex temporal growth factor signals. We argue that this is a generic feature of receptor networks, the first layer of the cell that senses the changing environment. Using the experimentally established epidermal growth factor sensing system, we propose how recycling could provide self-organized maintenance of the critical receptor concentration at the plasma membrane through a simple, fluctuation-sensing mechanism. Processing of non-stationary signals, a feature previously attributed only to neural networks, thus uniquely emerges for receptor networks organized at criticality.

中文翻译：

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处于临界状态的组织使接收器网络能够处理随时间变化的信号。

在过去的几十年中，细胞如何利用表面受体进行化学感受是一个反复出现的问题，涉及物理和生物学之间。但是，处理时变信号的动态机制仍然不清楚。使用动力学系统形式主义描述非平衡系统中的关键性，我们提出了使用动态瞬态记忆通过相空间轨迹处理时间信息的通用原理。与短期记忆相反，通过“幽灵”吸引子生成的动态记忆可以根据刺激历史进行信号积分，从而独特地促进积分和解释复杂的时间增长因子信号。我们认为这是受体网络的一般特征，受体网络是感知变化中的环境的细胞的第一层。使用实验建立的表皮生长因子传感系统，我们提出回收利用如何通过简单的波动传感机制自发维持质膜上关键受体的浓度。非平稳信号的处理是以前仅归因于神经网络的功能，因此对于在临界状态下组织的受体网络来说是独一无二的。