| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Outline of Final Research Achievements |
Biological networks often represent modular networks, which is defined as the degree of decomposing a network into several subnetworks. We investigate an alternative evolutionary constraint entailing increased robustness to noise.
To examine this, we study noise-interfused network models involving an analytically solvable linear system and biologically inspired nonlinear systems. (1) It was shown that the evolutionary constraint enforces to find well-balanced noise-sensitivities of multiple noise sources, and leads to a modular network underlying a modular structure in goals. (2) The simple model was proposed for the modular network evolution based on non-linearity denosing in a node-activity. The model suggest that the modular networks can evolve under conditions; if the given goals to networks, input and target output pairs, involve modular feature; and if the signal transfer in a node is carried out with non-linear manners in the sense of a saturation at upper and lower bounds.
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