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arxiv: 1002.4993 · v1 · pith:NW5X6VM3new · submitted 2010-02-26 · ❄️ cond-mat.dis-nn

Collective oscillations in disordered neural networks

classification ❄️ cond-mat.dis-nn
keywords collectivedisorderexponentlyapunovoscillationsstatezeroanalogous
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We investigate the onset of collective oscillations in a network of pulse-coupled leaky-integrate-and-fire neurons in the presence of quenched and annealed disorder. We find that the disorder induces a weak form of chaos that is analogous to that arising in the Kuramoto model for a finite number N of oscillators [O.V. Popovych at al., Phys. Rev. E 71} 065201(R) (2005)]. In fact, the maximum Lyapunov exponent turns out to scale to zero for N going to infinite, with an exponent that is different for the two types of disorder. In the thermodynamic limit, the random-network dynamics reduces to that of a fully homogenous system with a suitably scaled coupling strength. Moreover, we show that the Lyapunov spectrum of the periodically collective state scales to zero as 1/N^2, analogously to the scaling found for the `splay state'.

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