Developing neuronal networks: Self-organized criticality predicts the future

Developing neuronal networks: Self-organized criticality predicts the future

Self-organized criticality emerged in neural activity is one of the key concepts to describe the formation and the function of developing neuronal networks. The relationship between critical dynamics and neural development is both theoretically and experimentally appealing. However, whereas it is well-known that cortical networks exhibit a rich repertoire of activity patterns at different stage...

Self-Organized Criticality in Developing Neuronal Networks

Recently evidence has accumulated that many neural networks exhibit self-organized criticality. In this state, activity is similar across temporal scales and this is beneficial with respect to information flow. If subcritical, activity can die out, if supercritical epileptiform patterns may occur. Little is known about how developing networks will reach and stabilize criticality. Here we monito...

Self-organized criticality in adaptive neural networks

Controlling self-organized criticality in complex networks

A control scheme to reduce the size of avalanches of the Bak-TangWiesenfeld model on complex networks is proposed. Three network types are considered: those proposed by Erdős-Renyi, Goh-KahngKim, and a real network representing the main connections of the electrical power grid of the western United States. The control scheme is based on the idea of triggering avalanches in the highest degree no...

Self-Organized Criticality

The causes and possible relations between the abundance of fractal structures and 1/f signals found in nature have puzzled scientists for years. Based on observations of computer simulations of the cellular automata sandpile model, the term, self-organized criticality (SOC) was invented by theoretical physicists Bak and coworkers (1987) and was used to explain a universal dynamic organizing pro...