Transient oscillations in continuous-time excitatory ring neural networks with delay (1997)
- Authors:
- USP affiliated authors: RAGAZZO, CLODOALDO GROTTA - IME ; MALTA, CORACI PEREIRA - IF
- Unidades: IME; IF
- DOI: 10.1103/physreve.55.3234
- Assunto: FÍSICA MATEMÁTICA
- Language: Inglês
- Source:
- Título: Physical Review. D
- Volume/Número/Paginação/Ano: v. 55, n. 3, p. 3234-3248, 1997
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
PAKDAMAN, K et al. Transient oscillations in continuous-time excitatory ring neural networks with delay. Physical Review. D, v. 55, n. 3, p. 3234-3248, 1997Tradução . . Disponível em: https://doi.org/10.1103/physreve.55.3234. Acesso em: 14 abr. 2026. -
APA
Pakdaman, K., Malta, C. P., Ragazzo, C. G., Arino, O., & Vibert, J. F. (1997). Transient oscillations in continuous-time excitatory ring neural networks with delay. Physical Review. D, 55( 3), 3234-3248. doi:10.1103/physreve.55.3234 -
NLM
Pakdaman K, Malta CP, Ragazzo CG, Arino O, Vibert JF. Transient oscillations in continuous-time excitatory ring neural networks with delay [Internet]. Physical Review. D. 1997 ; 55( 3): 3234-3248.[citado 2026 abr. 14 ] Available from: https://doi.org/10.1103/physreve.55.3234 -
Vancouver
Pakdaman K, Malta CP, Ragazzo CG, Arino O, Vibert JF. Transient oscillations in continuous-time excitatory ring neural networks with delay [Internet]. Physical Review. D. 1997 ; 55( 3): 3234-3248.[citado 2026 abr. 14 ] Available from: https://doi.org/10.1103/physreve.55.3234 - Asymptotic behavior of irreducible excitatory networks of graded-response neurons
- Non-existence of superexponential solutions in a system of delay differential equations modeling a two-neuron network
- Dynamics of a two graded-response neuron network with delay: negative feedback
- Metastability for delayed differential equations
- Asymptotic behavior of irreducible excitatory networks of graded-response neurons
- Asymptotic behavior of single graded response neuron model with a delayed self-connection
- Transient regime duration in continuous neural networks with delay
- Two important numbers in the Henon-Heiles dynamics
- Oscillations in continuous-time ring neural network models with and without delay
- Single graded-response neuron model with recurrent excitation: distributed delay
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