BIEN 210 Lecture Notes - Lecture 11: Viscosity, Emergence, Turbulence
12 Aug 2018
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Microfluidics: biology is about self-assembly (from molecular organism level). Chemically assemble: move or stay put. Modify to achieve our own fractionalities: get, store, or distribute resources. Integrated units that can be combined in many ways. E. g. genes in development pathway, neurons in the brain: networks. Things can be connected in different ways. E. g. regulatory feedback loop, brain: topology (or architecture) The way the nodes are connected in a network. What kind of connections & how they stay together. Something that comes together due to the rest of the network. E. g. development of limb or eye, memory/thought/perception, migration, community: robustness. Ability of the network to provide the same output despite internal (e. g. the loss of some modules) or external changes. The most robust networks are distributed networks. The scale-free networks biology uses are probably in between for robustness because it makes them more efficient (emergent properties are best in scale-free networks, but they"re also decently robust)
