Abstract Recent developments in the quantitative analysis of complex networks, based largely on graph theory, have been rapidly translated to studies of brain network organization.

These functions, which are characterised by their upper semi-continuity and subharmonicity along complex lines, are instrumental in formulating and solving complex Monge-Ampère equations.

Artificial Life Experiments Show How Complex Functions Can Evolve Date: May 8, 2003 Source: National Science Foundation Summary: If the evolution of complex organisms were a road trip, then the ...

We generalize Kontsevich's construction of L∞-derivations of polyvector fields from the affine space to an arbitrary smooth algebraic variety. More precisely, we construct a map (in the homotopy ...

In a new finding, researchers report an enzyme complex where the two interacting enzymes have opposite functions—one makes the metabolite glutamate and the other degrades it.