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 ...

Complex brain functions help adapt to new situations and stimuli Date: May 1, 2010 Source: Brown University Summary: A new study provides intriguing insight into the way that humans approach novel ...

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 ...

We describe a method for point and interval estimation of population parameters from complex surveys using estimating functions. The theory was originally developed for infinite populations and has ...