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Repertoire Networks


A repertoire network consists of a set of connected repertoire equations.  Entering a value for a volume (red) or cell number (blue) and pressing <Enter> generates a new hippocampus.  With rs so close to one, the predictions tend to be quite close to the original values.

Notice how the five different animal species of the controls can routinely share the same repertoire equations in the ca1 connections.  This may be telling us that genomes change very little over time, that the connections between parts become optimal, or something else. 

However, this is not always the case.  When we look at the repertoire equations for the dentate gyrus by clicking through the animals with the local buttons, a different picture appears.  Now the equations suggest that each animal species has a distinct pattern with little overlap.  Does this mean that connections can be unique and fundamental to speciation?  If the answer is yes, then this might help to explain how animals sharing remarkably similar genomes can produce such widely different species.  Think a moment.  This is exactly what nature does routinely.  It uses the same set of building blocks (atoms, molecules, parts) to build new compounds (larger molecules, larger parts, species) that offer new emergent properties.  In turn, emergent properties may - or may not - offer new opportunities for success.  In effect, nature may be experimenting with genes in the same way it experiments with elements of the periodic table.  Creativity, it knows, is in the connections.