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Titlebook: Computational Electrophysiology; Shinji Doi,Junko Inoue,Kunichika Tsumoto Textbook 2010 Springer-Verlag Tokyo 2010 Neuroscience.bioinforma

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發(fā)表于 2025-3-23 11:49:09 | 只看該作者
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發(fā)表于 2025-3-23 14:03:32 | 只看該作者
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發(fā)表于 2025-3-23 20:23:59 | 只看該作者
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..
14#
發(fā)表于 2025-3-24 01:48:15 | 只看該作者
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發(fā)表于 2025-3-24 02:47:33 | 只看該作者
,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.
16#
發(fā)表于 2025-3-24 09:41:58 | 只看該作者
17#
發(fā)表于 2025-3-24 12:14:53 | 只看該作者
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.
18#
發(fā)表于 2025-3-24 16:59:37 | 只看該作者
,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 ..
19#
發(fā)表于 2025-3-24 21:35:59 | 只看該作者
20#
發(fā)表于 2025-3-24 23:15:54 | 只看該作者
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