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. 2016 Feb 1;12(2):e1004720. doi: 10.1371/journal.pcbi.1004720

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© 2016 Vlachos et al

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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Fig 1 — (a) The network is in an asynchronous irregular (AI) regime. Single neuron firing follows Poisson statistics and (b) the population activity is stationary.(c) The network generates stochastic oscillations. Single neuron firing is still irregular, (d) but the population activity is oscillatory.(e) Eigenvalue spectrum computed from Eq 1. The emergence of oscillations can be explained by the onset of a Hopf bifurcation. When a complex pair of eigenvalues crosses the imaginary axis the network activity becomes unstable. (blue dots: AI regime, red dots: SI oscillations)