Single graded-response neuron model with recurrent excitation: distributed delay (1996)
- Authors:
- USP affiliated authors: MALTA, CORACI PEREIRA - IF ; RAGAZZO, CLODOALDO GROTTA - IME
- Unidades: IF; IME
- Assunto: FÍSICA MATEMÁTICA
- Language: Inglês
- Imprenta:
-
ABNT
PAKDAMAN, K et al. Single graded-response neuron model with recurrent excitation: distributed delay. . Sao Paulo: Ifusp. Disponível em: http://publica-sbi.if.usp.br/PDFs/pd1223.pdf. Acesso em: 16 abr. 2024. , 1996 -
APA
Pakdaman, K., Malta, C. P., Ragazzo, C. G., & Vibert, J. F. (1996). Single graded-response neuron model with recurrent excitation: distributed delay. Sao Paulo: Ifusp. Recuperado de http://publica-sbi.if.usp.br/PDFs/pd1223.pdf -
NLM
Pakdaman K, Malta CP, Ragazzo CG, Vibert JF. Single graded-response neuron model with recurrent excitation: distributed delay [Internet]. 1996 ;[citado 2024 abr. 16 ] Available from: http://publica-sbi.if.usp.br/PDFs/pd1223.pdf -
Vancouver
Pakdaman K, Malta CP, Ragazzo CG, Vibert JF. Single graded-response neuron model with recurrent excitation: distributed delay [Internet]. 1996 ;[citado 2024 abr. 16 ] Available from: http://publica-sbi.if.usp.br/PDFs/pd1223.pdf - Asymptotic behavior of irreducible excitatory networks of graded-response neurons
- Metastability for delayed differential equations
- Dynamics of a two graded-response neuron network with delay: negative feedback
- Non-existence of superexponential solutions in a system of delay differential equations modeling a two-neuron network
- Transient oscillations in continuous-time excitatory ring neural networks with delay
- "Asymptotic behavior of irreducible excitatory networks of analog graded-response neurons
- Bifurcation structure of scalar differential delayed equations
- Singularity structure of the hopf bifurcation surface of a differential equation with two delays
- Bifurcation structure of scalar differential delayed equations
- Transition layer equations for positive-feedback delayed equations
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
