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We assume that while preforming any higher brain function, multiple cortical regions interact with some fairly fixed temporal order. This type of process needs to be studied with a resolution of a few ms.
Such sequences of coordinated activities amongst multiple cortical locations was revealed in ongoing activity with milliseconds accuracy. That was achieved without the need for averaging over time or frequencies. The analysis was based on recording MEG and reconstructing the cortical current-dipole-amplitudes at multiple points. In these current-dipole traces instances of brief activity undulations were automatically detected and used to reveal where and when cortical points interact.

Supramolecular chemistry is actively exploring systems undergoing self-organization, i.e. systems capable of spontaneously generating well-defined functional supramolecular architectures by self-assembly from their components, on the basis of the molecular information stored in the covalent framework of the components and read out at the supramolecular level through specific non-covalent interactional algorithms, thus behaving as programmed chemical systems.
Supramolecular chemistry is intrinsically a dynamic chemistry in view of the lability of the interactions connecting the molecular components of a supramolecular entity and the resulting ability of supramolecular species to exchange their components. The same holds for molecular chemistry when the molecular entity contains covalent bonds that may form and break reversibility, so as to allow a continuous change in constitution by reorganization and exchange of building blocks. These features define a Constitutional Dynamic Chemistry (CDC) covering both the molecular and supramolecular levels.
CDC introduces a paradigm shift with respect to constitutionally static chemistry. It takes advantage of dynamic diversity to allow variation and selection and operates on dynamic constitutional diversity in response to either internal or external factors to achieve adaptation.
CDC generates networks of dynamically interconverting constituents, constitutional dynamic networks, presenting agonistic and antagonistic relationships between their constituents, that may respond to perturbations by physical stimuli or to chemical effectors.
The implementation of these concepts points to the emergence of adaptive and evolutive chemistry, towards systems of increasing complexity.

References
 Lehn, J.-M., Supramolecular Chemistry: Concepts and Perspectives, VCH Weinheim, 1995.
 Lehn, J.-M., Dynamic combinatorial chemistry and virtual combinatorial libraries, Chem. Eur. J., 1999, 5, 2455.
 Lehn, J.-M., Programmed chemical systems : Multiple subprograms and multiple processing/expression of molecular information, Chem. Eur. J., 2000, 6, 2097.
 Lehn, J.-M., Toward complex matter: Supramolecular chemistry and self-organization, Proc. Natl. Acad. Sci. USA, 2002, 99, 4763.
 Lehn, J.-M., From supramolecular chemistry towards constitutional dynamic chemistry and adaptive chemistry, Chem. Soc. Rev., 2007, 36, 151.
 Lehn, J.-M., Chapter 1, in Constitutional Dynamic Chemistry, ed. M. Barboiu, Topics Curr. Chem, 2012, 322, 1-32.
 Lehn, J.-M., Perspectives in Chemistry – Steps towards Complex Matter, Angew. Chem. Int. Ed., 2013, 52, 2836-2850.