Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2010-02-26
Physical Review E 81, 046119 (2010)
Physics
Condensed Matter
Disordered Systems and Neural Networks
8.5 Pages, 12 figures, submitted to Physical Review E
Scientific paper
10.1103/PhysRevE.81.046119
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'.
Livi Roberto
Olmi Simona
Politi Antonio
Torcini Alessandro
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