We investigate the onset of collective oscillations in a excitatory pulse-coupled network of leaky integrateand-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. In fact, the maximum Lyapunov exponent turns out to scale to zero for N->infinity, 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 homogeneous system with a suitably scaled coupling strength. Moreover, we show that the Lyapunov spectrum of the periodically collective state scales to zero as 1/N2, analogously to the scaling found for the “splay state.”
Collective oscillations in disordered neural networks / S.Olmi;R.Livi;A.Politi;A.Torcini. - In: PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS. - ISSN 1539-3755. - STAMPA. - Physical Review E 81, 046119 (2010):(2010), pp. 046119-1-046119-7. [10.1103/PhysRevE.81.046119]
Collective oscillations in disordered neural networks
OLMI, SIMONA;LIVI, ROBERTO;POLITI, ANTONIO;
2010
Abstract
We investigate the onset of collective oscillations in a excitatory pulse-coupled network of leaky integrateand-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. In fact, the maximum Lyapunov exponent turns out to scale to zero for N->infinity, 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 homogeneous system with a suitably scaled coupling strength. Moreover, we show that the Lyapunov spectrum of the periodically collective state scales to zero as 1/N2, analogously to the scaling found for the “splay state.”File | Dimensione | Formato | |
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