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Collective oscillations in disordered neural networks

Articolo
Data di Pubblicazione:
2010
Abstract:
We investigate the onset of collective oscillations in a excitatory pulse-coupled network of 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 et al., Phys. Rev. E 71 065201(R) (2005)]. In fact, the maximum Lyapunov exponent turns out to scale to zero for N??, 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."
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Neuroscience computazionali; Reti complesse; Sistemi dinamici
Elenco autori:
Livi, Roberto; Olmi, Simona; Politi, Antonio; Torcini, Alessandro
Autori di Ateneo:
OLMI SIMONA
TORCINI ALESSANDRO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/35679
Pubblicato in:
PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS
Journal
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