In this 1984 documentary about Apple Computers the company’s engineers reveal the secrets behind the company’s success: having a dedicated core of self-managed people who have a common vision and are motivated to change the world.
Ross Anderson and Hyoungshick Kim developed a model called Time-Ordered graph, which enables analysis of a node’s centrality over a period of time. The basic premise is that the time-ordered graphs reduces a dynamic network into a static one with directed flows.
According to the recently published article Memory Ageing and Brain Maintenance (Trends in Cognitive Sciences, May 2012), cognitive interventions designed to help adults maintain memory capacities when ageing should aim at maintaining, and possibly restoring, youthful brain structure and functions. That is, rather than expecting that training will evoke novel brain responses in older adults, interventions may improve performance by reducing or remediating age changes in various aspects of brain physiology.
Polysynchrony is a condition where distinct groups of nodes within the same network can exhibit different synchronization patterns. These nodes do not have to be necessarily connected to one another and it has also been shown that polysynchronous state often emerges in hierarchical networks. An interesting research on this subject published recently in IOP provides an interesting outline of polysynchronicity.
The new paper Colored noise induces synchronization of limit cycle oscillators shows that color noise can induce synchronization among limit-cycle oscillators. This finding interestingly relates to the fact that brain dynamics is characterized by chaotic noise and perhaps shows the potential of noise to be the communication medium for various groups of synchronized constellations of nodes in a network. The abstract of the paper is below:
