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arxiv: nlin/0701020 · v1 · submitted 2007-01-11 · 🌊 nlin.AO · q-bio.NC

Self-organising mechanism of neuronal avalanche activity

classification 🌊 nlin.AO q-bio.NC
keywords activitynetworksbackgroundneuronalnon-conservativecorticalcriticalitymodel
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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.

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