Mechanisms of Self-Organized Criticality in Adaptive Networks
Thilo Gross, Anne-Ly Do, Felix Droste and Christian Meisel
In: D Plenz and E Niebur (Eds.): Criticailty in Neural Systems, pp. 393-402 (2014)
Neural criticality, the hypothesis that the human brain may operate in a critical state, has gained much support over the past decade [1–6]. Previously, a major concern was that reaching criticality would always require the precise tuning of at least one parameter. However starting with the pioneering work of Bornholdt and Rohlf [7], it has become apparent that the self‐organization of adaptive networks constitutes a plausible mechanism that could generate and maintain criticality in the brain. In the present chapter, we seek to explain the underlying concepts of adaptive self‐organized criticality and build up basic intuition by studying a simple toy model.