http://www.cnr.it/ontology/cnr/individuo/prodotto/ID57671
Collective chaos in pulse-coupled neural networks (Articolo in rivista)
- Type
- Label
- Collective chaos in pulse-coupled neural networks (Articolo in rivista) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1209/0295-5075/92/60007 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Olmi S. ; Politi A. ; Torcini A. (literal)
- Pagina inizio
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- EPLA ; IOP Publishing. (literal)
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR-ISC, Firenze, Sesto Fiorentino, Italy, Ist Nazl Fis Nucl, Sez Firenze, I-50019 Sesto Fiorentino, Italy, Ctr Interdipartimentale Studio Dinam Complesse, I-50019 Sesto Fiorentino, Italy (literal)
- Titolo
- Collective chaos in pulse-coupled neural networks (literal)
- Abstract
- We study the dynamics of two symmetrically coupled populations of identical leaky integrate-and-fire neurons characterized by an excitatory coupling. Upon varying the coupling strength, we find symmetry-breaking transitions that lead to the onset of various chimera states as well as to a new regime, where the two populations are characterized by a different degree of synchronization. Symmetric collective states of increasing dynamical complexity are also observed. The computation of the the finite-amplitude Lyapunov exponent allows us to establish the chaoticity of the (collective) dynamics in a finite region of the phase plane. The further numerical study of the standard Lyapunov spectrum reveals the presence of several positive exponents, indicating that the microscopic dynamics is high-dimensional. Copyright (C) EPLA, 2010 (literal)
- Prodotto di
- Autore CNR
Incoming links:
- Autore CNR di
- Prodotto
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi