Chaos in heterogeneous neural networks: I. The critical transition point

Aljadeff, Johnatan; Stern, Merav; Sharpee, Tatyana

There is accumulating evidence that biological neural networks possess optimal computational capacity when they are at or near a critical point in which the network transitions to a chaotic regime. We derive a formula for the critical point of a general heterogeneous neural network. This formula relates the structure of the network to its critical point. The heterogeneity of the network may describe the spatial structure, a multiplicity of cell types or any selective connectivity rules.


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BMC Neuroscience

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September 23, 2014