Biswas Ayan, Banik Suman K
Department of Chemistry, Bose Institute, 93/1 A P C Road, Kolkata 700 009, India.
Chaos. 2018 Oct;28(10):103102. doi: 10.1063/1.5044606.
The formalism of partial information decomposition provides a number of independent components which altogether constitute the total information provided by the source variable(s) about the target variable(s). These non-overlapping terms are recognized as unique information, synergistic information, and redundant information. The metric of net synergy conceived as the difference between synergistic and redundant information is capable of detecting effective synergy, effective redundancy, and information independence among stochastic variables. The net synergy can be quantified using appropriate combinations of different Shannon mutual information terms. The utilization of the net synergy in network motifs with the nodes representing different biochemical species, involved in information sharing, uncovers rich store for exciting results. In the current study, we use this formalism to obtain a comprehensive understanding of the relative information processing mechanism in a diamond motif and two of its sub-motifs, namely, bifurcation and integration motif embedded within the diamond motif. The emerging patterns of effective synergy and effective redundancy and their contribution toward ensuring high fidelity information transmission are duly compared in the sub-motifs. Investigation on the metric of net synergy in independent bifurcation and integration motifs are also executed. In all of these computations, the crucial roles played by various systemic time scales, activation coefficients, and signal integration mechanisms at the output of the network topologies are especially emphasized. Following this plan of action, we become confident that the origin of effective synergy and effective redundancy can be architecturally justified by decomposing a diamond motif into bifurcation and integration motif. According to our conjecture, the presence of a common source of fluctuations creates effective redundancy. Our calculations reveal that effective redundancy empowers signal fidelity. Moreover, to achieve this, input signaling species avoids strong interaction with downstream intermediates. This strategy is capable of making the diamond motif noise-tolerant. Apart from the topological features, our study also puts forward the active contribution of additive and multiplicative signal integration mechanisms to nurture effective redundancy and effective synergy.
部分信息分解形式体系提供了多个独立成分，这些成分共同构成源变量关于目标变量所提供的总信息。这些不重叠的项被识别为独特信息、协同信息和冗余信息。净协同度量被定义为协同信息与冗余信息之差，它能够检测随机变量之间的有效协同、有效冗余和信息独立性。净协同可以通过不同香农互信息项的适当组合来量化。在以代表参与信息共享的不同生化物种的节点构成的网络基序中利用净协同，能发现丰富的令人兴奋的结果。在当前研究中，我们使用这种形式体系来全面理解菱形基序及其两个子基序（即嵌入在菱形基序中的分叉基序和整合基序）中的相对信息处理机制。在子基序中对有效协同和有效冗余的出现模式及其对确保高保真信息传输的贡献进行了适当比较。还对独立的分叉基序和整合基序中的净协同度量进行了研究。在所有这些计算中，特别强调了各种系统时间尺度、激活系数以及网络拓扑输出处的信号整合机制所起的关键作用。按照这个行动计划，我们相信通过将菱形基序分解为分叉基序和整合基序，可以从结构上解释有效协同和有效冗余的起源。根据我们的推测，共同波动源的存在会产生有效冗余。我们的计算表明，有效冗余增强了信号保真度。此外，为了实现这一点，输入信号物种避免与下游中间体发生强烈相互作用。这种策略能够使菱形基序具有抗噪能力。除了拓扑特征外，我们的研究还提出了加性和乘性信号整合机制对培育有效冗余和有效协同的积极贡献。
