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Generic Criticality in Ecological and Neuronal Networks

We investigate the dynamics of two models of biological networks with purely suppressive interactions between the units; species interacting via niche competition and neurons via inhibitory synaptic coupling. In both of these cases, power-law scaling of the density of states with probability arises without any fine-tuning of the model parameters. These results argue against the increasingly popular notion that non-equilibrium living systems operate at special critical points, driven by there by evolution so as to enable adaptive processing of input data.

preprint2015arXivOpen access
David A. KesslerHerbert Levine
Populations and Evolutioncond-mat.dis-nnNeurons and Cognition
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David A. KesslerHerbert Levine

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