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This article is cited in 3 scientific papers (total in 3 papers)
Probability density function of leaky integrate-and-fire model with Lévy noise and its numerical approximation
P. Singha, M. K. Kadalbajoob, K. Sharmac a School of Mathematics and Computer Applications, Thapar University, Patiala, India
b Department of Mathematics and Statistics, Indian Institute of Technology, Kanpur, India
c Department of Mathematics, South Asian University, New Delhi, India
Abstract:
We investigate a numerical analysis of a leaky integrate-and-fire model with Lévy noise. We consider a neuron model in which the probability density function of a neuron in some potential at any time is modeled by a transport equation. Lévy noise is included due to jumps by excitatory and inhibitory impulses. Due to these jumps the resulting equation is a transport equation containing two integrals in the right-hand side (jumps). We design, implement, and analyze numerical methods of finite volume type. Some numerical examples are also included.
Key words:
leaky integrate-and-fire model, transport equation, finite volume approximation, Lévy noise.
Received: 25.01.2015
Citation:
P. Singh, M. K. Kadalbajoo, K. Sharma, “Probability density function of leaky integrate-and-fire model with Lévy noise and its numerical approximation”, Sib. Zh. Vychisl. Mat., 19:1 (2016), 87–96; Num. Anal. Appl., 9:1 (2016), 66–73
Linking options:
https://www.mathnet.ru/eng/sjvm604 https://www.mathnet.ru/eng/sjvm/v19/i1/p87
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Abstract page: | 215 | Full-text PDF : | 68 | References: | 57 | First page: | 42 |
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