http://www.cnr.it/ontology/cnr/individuo/prodotto/ID209932
Synchronous dynamics in the presence of short-term plasticity (Articolo in rivista)
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- Label
- Synchronous dynamics in the presence of short-term plasticity (Articolo in rivista) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1103/PhysRevE.87.032801 (literal)
- Alternative label
Matteo di Volo (1,2); Roberto Livi (2,3,4,5); Stefano Luccioli (2,4,5); Antonio Politi (2,4,6); Alessandro Torcini (2,4,5) (2013)
Synchronous dynamics in the presence of short-term plasticity
in Physical review. E, Statistical, nonlinear, and soft matter physics (Print)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Matteo di Volo (1,2); Roberto Livi (2,3,4,5); Stefano Luccioli (2,4,5); Antonio Politi (2,4,6); Alessandro Torcini (2,4,5) (literal)
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- http://link.aps.org/doi/10.1103/PhysRevE.87.032801 (literal)
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- (1) Department of Physics, Università degli Studi di Parma, via G.P. Usberti 7/A, I-43124 Parma, Italy
(2) Centro Interdipartimentale per lo Studio delle Dinamiche Complesse, Università di Firenze, via G. Sansone 1, I-50019 Sesto Fiorentino, Italy
(3) Department of Physics, Università di Firenze, via G. Sansone 1 - I-50019 Sesto Fiorentino, Italy
(4) CNR - Consiglio Nazionale delle Ricerche, Istituto dei Sistemi Complessi, via Madonna del Piano 10, I-50019 Sesto Fiorentino, Italy
(5) Istituto Nazionale di Fisica Nucleare, Sezione di Firenze, via G. Sansone 1 - I-50019 Sesto Fiorentino, Italy
(6) Institute for Complex Systems and Mathematical Biology and Scottish Universities Physics Alliance, University of Aberdeen, Aberdeen AB24 3UE, United Kingdom (literal)
- Titolo
- Synchronous dynamics in the presence of short-term plasticity (literal)
- Abstract
- We investigate the occurrence of quasisynchronous events in a random network of excitatory leaky integrate-and-fire neurons equipped with short-term plasticity. The dynamics is analyzed by monitoring both the evolution of global synaptic variables and, on a microscopic ground, the interspike intervals of the individual neurons. We find that quasisynchronous events are the result of a mixture of synchronized and unsynchronized motion, analogously to the emergence of synchronization in the Kuramoto model. In the present context, disorder is due to the random structure of the network and thereby vanishes for a diverging network size N (i.e., in the thermodynamic limit), when statistical fluctuations become negligible. Remarkably, the fraction of asynchronous neurons remains strictly larger than zero for arbitrarily large N. This is due to the presence of a robust homoclinic cycle in the self-generated synchronous dynamics. The nontrivial large-N behavior is confirmed by the anomalous scaling of the maximum Lyapunov exponent, which is strictly positive in a finite network and decreases as N-0.27. Finally, we have checked the robustness of this dynamical phase with respect to the addition of noise, applied to either the reset potential or the leaky current. (literal)
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