2021
DOI: 10.1140/epjp/s13360-021-01610-w
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On a reaction–diffusion model for calcium dynamics in neurons with Mittag–Leffler memory

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Cited by 27 publications
(16 citation statements)
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“…The obtained protocols u and w, provide from the single-valued selection c θ by (9) to the set-valued map of regulation F θ by (6a), which should be strict on the subset D θ by (5c) : ∀(p, q, r, w) ∈ D θ , F θ (p, q, r, w) = ∅, and they rend the model (1) globally viable on the subset D θ , as it is demonstrated in the Proof 4 of the Lemma 1. The linear dynamics (1c) and (3) of the tumor repair r and the radiation control w respectively, allow to get the useful expression (7a) of the set-valued map of regulation F θ , as it is proved in the Proof 4 of the Lemma 3, and the single-valued selection c θ is a solution to the following problem of minimization : min ||(u, v)|| such that (u, v) ∈ [0, u max ] × [0, w max ] by (5a), and θ (p, q, r, w) + h(p, q, r, w), (u, v) ≤ 0 by (8), which is numerically approached by the method of Uzawa in the last Section 5, and implemented into the discretized model (11) by the method of Euler, to get the numerical simulations of Figure 2, which are in perfect conformity with the theoretical results of the preceding Section 4.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The obtained protocols u and w, provide from the single-valued selection c θ by (9) to the set-valued map of regulation F θ by (6a), which should be strict on the subset D θ by (5c) : ∀(p, q, r, w) ∈ D θ , F θ (p, q, r, w) = ∅, and they rend the model (1) globally viable on the subset D θ , as it is demonstrated in the Proof 4 of the Lemma 1. The linear dynamics (1c) and (3) of the tumor repair r and the radiation control w respectively, allow to get the useful expression (7a) of the set-valued map of regulation F θ , as it is proved in the Proof 4 of the Lemma 3, and the single-valued selection c θ is a solution to the following problem of minimization : min ||(u, v)|| such that (u, v) ∈ [0, u max ] × [0, w max ] by (5a), and θ (p, q, r, w) + h(p, q, r, w), (u, v) ≤ 0 by (8), which is numerically approached by the method of Uzawa in the last Section 5, and implemented into the discretized model (11) by the method of Euler, to get the numerical simulations of Figure 2, which are in perfect conformity with the theoretical results of the preceding Section 4.…”
Section: Discussionmentioning
confidence: 99%
“…[10] Develops a Hilfer fractional model related to Parkinson's disease, and obtains a closed form solution in the terms of Wright function and Mittag-Leffler function, by using Sumudu transform technique. [11] Uses the Laplace transform and exponential Fourier transform of Atangana-Baleanu-Caputo (ABC) derivative, to obtain the approximate analytical solutions of a reaction-diffusion model for calcium dynamics in neurons, in terms of generalized Mittag-Leffler function. [12] Presents a two-dimensional fractional-order reaction-diffusion model to develop a control mechanism of Calcium in nerve cells, and uses the integral transform technique of arbitrary order to find the solution of the model.…”
Section: Introductionmentioning
confidence: 99%
“…Clinicians can, thus, use the information (in terms of behavior's predictions) of fractional‐order systems to fit patients data with the most appropriate non‐integer‐order index. From the literature review, we have also seen that fractional‐order derivatives provide the best tool for real‐life modeling systems that are more accurate than integer‐order cases; see previous studies 46–54 …”
Section: Introductionmentioning
confidence: 89%
“…From the literature review, we have also seen that fractional-order derivatives provide the best tool for real-life modeling systems that are more accurate than integer-order cases; see previous studies. [46][47][48][49][50][51][52][53][54] The remaining work is organized as follows: Section 1 presents the study's introduction, followed by Section 2, which discusses some basics of fractional derivatives. Section 3 gives the formulation of the proposed SEIR model.…”
Section: Introductionmentioning
confidence: 99%
“…Also, there have been several experimental attempts that were performed in the past to identify the role and physiological impact of sodium calcium exchangers on various cells [13,14,15,16]. Beside this a researches has explored the role of parameters of calcium toolkits on astrocytes [17,18,19,20,21,22], neuron [23,24,25,26,27,28,29,30], oocytes [31,32], myocytes [33,34,35], hepatocytes [36], and T lymphocytes cells [37,38]. Thus a very little amount of work has attempted to study parameters of calcium toolkits by using the fractional calculus approach.…”
Section: Introductionmentioning
confidence: 99%