论文标题
代谢经济的集体生物学计算
Collective biological computation of metabolic economy
论文作者
论文摘要
在有感觉挑战的情况下，活细胞采用广泛的嘈杂，自动化的信号传导和交流来计算生理上适当的反应，这通常会导致对称性破裂。我们根据耦合随机振荡器模型的结果提出，该模型是通过胰岛素分泌β细胞进行的生物计算机制，由双重细胞内CA $^{2+} $释放过程组合，以确保多层探索为增强的鲁棒性和敏感性有助于多层探索。计算输出是宏观上观察到的是集体β细胞对养分浓度增加的反应中的疾病 - 阶相跃迁。基于Previoulsy的类比描述了生物学计算的示例，我们认为最初的响应可能之后是自适应阶段，以扩大感觉谱并巩固记忆。
Presented with sensory challenges, living cells employ extensive noisy, fluctuating signalling and communication among themselves to compute a physiologically proper response which often results in symmetry breaking. We propose, based on the results of a coupled stochastics oscillators model that biological computation mechanism undertaken by insulin secreting beta-cells consists of a combination of dual intracellular Ca$^{2+}$ release processes to ensure multilayered exploration contributing to enhanced robustness and sensitivity. The computational output is what is macroscopically observed as disorder-order phase transition in collective beta-cell response to nutrient concentration increase. Based on the analogies from previoulsy described examples of biological computation, we argue that the initial response may be followed by an adaptive phase to expand the sensory spectrum and consolidate memory.
