title: Self-organising mechanism of neuronal avalanche criticality
creator: Juanico, Dr D.E.
subject: Biophysics
subject: Neural Modelling
description: A self-organising model is proposed to explain the criticality in cortical networks deduced from recent observations of neuronal avalanches. Prevailing understanding of self-organised criticality (SOC) dictates that conservation of energy is essential to its emergence. Neuronal networks however are inherently non-conservative as demonstrated by microelectrode recordings. The model presented here shows that SOC can arise in non-conservative systems as well, if driven internally. Evidence suggests that synaptic background activity provides the internal drive for non-conservative cortical networks to achieve and maintain a critical state. SOC is robust to any degree $\eta \in (0,1]$ of background activity when the network size $N$  is large enough such that $\eta N\sim 10^3$. For small networks, a strong background  leads to epileptiform activity, consistent with neurophysiological knowledge about epilepsy.
date: 2007-01
type: Preprint
type: NonPeerReviewed
format: application/pdf
identifier: http://cogprints.org/5398/1/cogprints-juanico-2007.pdf
identifier:   Juanico, Dr D.E.  (2007) Self-organising mechanism of neuronal avalanche criticality.  [Preprint]     
relation: http://cogprints.org/5398/