2022
DOI: 10.1016/j.heliyon.2022.e09871
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Geometrical modelling of neuronal clustering and development

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Cited by 5 publications
(4 citation statements)
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“…Further, the electrical activity (E) of the cells is regarded as another independent factor that contributes to the morphological change of the cells (assuming the change in the manifolds shown in Figure 8 as Functor E: Ef(M1)→Ef(M2)) and leads to cellular growth. The equation is called the Van der Pol equation 4 and is applied to generate the vector field in two-phase, which is 𝑥2 = −𝑥 1 − 𝑚(𝑥 1 2 − 1)𝑥 2 , m = 0.1 and m = 1, E= 𝑥2. .…”
Section: B)mentioning
confidence: 99%
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“…Further, the electrical activity (E) of the cells is regarded as another independent factor that contributes to the morphological change of the cells (assuming the change in the manifolds shown in Figure 8 as Functor E: Ef(M1)→Ef(M2)) and leads to cellular growth. The equation is called the Van der Pol equation 4 and is applied to generate the vector field in two-phase, which is 𝑥2 = −𝑥 1 − 𝑚(𝑥 1 2 − 1)𝑥 2 , m = 0.1 and m = 1, E= 𝑥2. .…”
Section: B)mentioning
confidence: 99%
“…In mathematical modelling of the neurodevelopmental processes, one of the biggest challenges is how to "approach", meaning where to begin, and how to look at this entity for inspiration for computation/neural networks, but more importantly, to understand the underlying mechanisms that drive neurodevelopment during embryonic development 2,3 . Our previous study addressed these questions at a preliminary level 4 . Eventually, we devised an equation that theoretically showed neuronal clustering in the cortex 5 by using the cellular characteristics, since such descriptions are limited 4 , this study addresses these fundamental questions using more complex equations and algorithms.…”
Section: Introductionmentioning
confidence: 99%
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