作者: 抗生素 時(shí)間: 2025-3-21 23:16 作者: Perigee 時(shí)間: 2025-3-22 03:12 作者: 保存 時(shí)間: 2025-3-22 07:37 作者: Deduct 時(shí)間: 2025-3-22 09:42 作者: 儀式 時(shí)間: 2025-3-22 14:15
https://doi.org/10.1007/978-3-663-13006-2n variables of Na. current and an activation variable of K. current). Among the diverse family of HH-type equations, this chapter explores the dynamics and the bifurcation structure of the HH-type equations of heart muscle cells (cardiac myocytes).作者: 儀式 時(shí)間: 2025-3-22 18:57 作者: Cabg318 時(shí)間: 2025-3-23 00:49 作者: 你不公正 時(shí)間: 2025-3-23 01:49 作者: moratorium 時(shí)間: 2025-3-23 08:03
ysis..This book is unique in that many mathematical models w.Biological systems inherently possess much ambiguity or uncertainty. Computational electrophysiology is the one area, from among the vast and rapidly growing discipline of computational and systems biology, in which computational or mathem作者: 生命層 時(shí)間: 2025-3-23 11:49 作者: 大笑 時(shí)間: 2025-3-23 14:03 作者: 一瞥 時(shí)間: 2025-3-23 20:23
Textbook 2010s of bifurcation analysis of various models as well as mathematical models with different abstraction levels from neuroscience and electrophysiology. This volume will benefit graduate and undergraduate students as well as researchers in diverse fields of science..作者: OGLE 時(shí)間: 2025-3-24 01:48 作者: 歌唱隊(duì) 時(shí)間: 2025-3-24 02:47
,Whole System Analysis of Hodgkin–Huxley Systems,tudy the bifurcation structure of the HH equations by changing their various parameters. To do so, in this chapter, we consider a slight modification of the original HH equations since the modification is mathematically more tractable.作者: 愛(ài)得痛了 時(shí)間: 2025-3-24 09:41 作者: 內(nèi)閣 時(shí)間: 2025-3-24 12:14
https://doi.org/10.1007/978-3-663-13007-9odels whatever simplified or physiological, have their own values to model real phenomena. Starting with the BVP or FHN model which is a simplification of the HH equations, this chapter proceeds to several neuronal models with higher abstractions which are useful to tract some essential features of neurons.作者: 平常 時(shí)間: 2025-3-24 16:59
,The Hodgkin–Huxley Theory of Neuronal Excitation,iological phenomena but also in that the method (the . or the .) used in deriving the model of a squid is . to many kinds of neurons and other excitable cells. The equations derived following this HH formalism are called the ..作者: indices 時(shí)間: 2025-3-24 21:35 作者: vitreous-humor 時(shí)間: 2025-3-24 23:15 作者: gustation 時(shí)間: 2025-3-25 06:34
A First Course in “In Silico Medicine”http://image.papertrans.cn/c/image/232269.jpg作者: abduction 時(shí)間: 2025-3-25 08:57
https://doi.org/10.1007/978-3-663-04265-5systems. The dynamical system theory is related to other areas of mathematics also, for example, to the (analytic or geometric) singular perturbation theory. The singular perturbation theory is very important to analyze and understand the mathematical models in the electrophysiology (see Coombes and作者: placebo-effect 時(shí)間: 2025-3-25 14:10
https://doi.org/10.1007/978-3-663-13007-9 action potential of squid giant axon, although there are still arguments against it (Connor et al. 1977; Strassberg and DeFelice 1993; Rush and Rinzel 1995; Clay 1998). The HH equations are important not only in that it is one of the most successful mathematical model in quantitatively describing b作者: Truculent 時(shí)間: 2025-3-25 19:39
https://doi.org/10.1007/978-3-663-13007-9odels or abstract models. However, there is no model in which any simplifications or abstractions have not been made. Of course, many features of real neurons are ignored even in the HH equations. All models have their applicability and limits to describe natural phenomena. Therefore, all types of m作者: GRACE 時(shí)間: 2025-3-25 22:09
https://doi.org/10.1007/978-3-663-13006-2e HH equations, however, include various constants or parameters whose values were determined based on physiological experiments, and thus the values inherently possess a certain ambiguity. Also, the “constants” are not really constant but change temporally. Thus, in this chapter, we study the effec作者: 歡呼 時(shí)間: 2025-3-26 04:06 作者: malign 時(shí)間: 2025-3-26 07:22
https://doi.org/10.1007/978-4-431-53862-2Neuroscience; bioinformatics; biological complexity; computational approaches to biological phenomena; d作者: 拔出 時(shí)間: 2025-3-26 09:20 作者: 盲信者 時(shí)間: 2025-3-26 12:50 作者: INTER 時(shí)間: 2025-3-26 19:34 作者: Inkling 時(shí)間: 2025-3-26 23:19 作者: Deadpan 時(shí)間: 2025-3-27 02:03 作者: 樸素 時(shí)間: 2025-3-27 05:37 作者: Repetitions 時(shí)間: 2025-3-27 11:52 作者: progestogen 時(shí)間: 2025-3-27 14:54 作者: 專橫 時(shí)間: 2025-3-27 20:29
