Chaotic itinerancy in the oscillator neural network without Lyapunov functions.
Chaos
; 14(3): 699-706, 2004 Sep.
Article
en En
| MEDLINE
| ID: mdl-15446981
ABSTRACT
Chaotic itinerancy (CI), which is defined as an incessant spontaneous switching phenomenon among attractor ruins in deterministic dynamical systems without Lyapunov functions, is numerically studied in the case of an oscillator neural network model. The model is the pseudoinverse-matrix version of the previous model [S. Uchiyama and H. Fujisaka, Phys. Rev. E 65, 061912 (2002)] that was studied theoretically with the aid of statistical neurodynamics. It is found that CI in neural nets can be understood as the intermittent dynamics of weakly destabilized chaotic retrieval solutions.
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01-internacional
Base de datos:
MEDLINE
Asunto principal:
Encéfalo
/
Red Nerviosa
Tipo de estudio:
Prognostic_studies
Límite:
Animals
Idioma:
En
Revista:
Chaos
Asunto de la revista:
CIENCIA
Año:
2004
Tipo del documento:
Article
País de afiliación:
Japón