在部分观测的波动信号中平衡信息与耗散
Balancing information and dissipation with partially observed fluctuating signals
AI总结：
该研究提出了一种在部分观测波动信号中平衡信息获取与耗散成本的通用化学模型，通过别构调节读出分子的产生，实现了在有限资源下的适应性调控。
摘要：
生物系统在能量约束和有限分辨率下感知并从波动信号中提取信息。我们引入了一个通用的化学模型，其中传感器通过隐藏信号激活的信号通路耦合，可以别构调节读出分子的产生。我们提出了一种可行的策略，使传感器能够估计并最终平衡隐藏过程的信息获取与相关的耗散成本，仅依赖于观测轨迹的计数统计。我们证明这些策略可以成功实施，即使在有限时间测量和有限动态分辨率的情况下，也能适应读出分子的产生，并在存在抑制调节机制时仍保持有效。我们的研究提供了一个可能的机制，用于主动平衡信息与耗散，为生物和生化适应的可实现设计原理铺平了道路。
英文摘要：
Biological systems sense and extract information from fluctuating signals while operating under energetic constraints and limited resolution. We introduce a general chemical model in which a sensor, coupled to a signaling pathway activated by hidden signals, can allosterically tune the production of a readout molecule. We propose viable strategies for the sensor to estimate, and eventually balance, information gathering on the hidden process and the associated dissipative cost relying solely on counting statistics of observed trajectories. We show that these strategies can be successfully implemented to adapt the readout production even with finite-time measurements and limited dynamic resolution, and remain effective in the presence of inhibitory regulatory mechanisms. Our study provides a plausible mechanism to actively balance information and dissipation, paving the way for an implementable design principle underpinning biological and biochemical adaptation.
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