000 02980nam a22005175i 4500
001 978-4-431-53862-2
003 DE-He213
005 20140220084553.0
007 cr nn 008mamaa
008 100319s2010 ja | s |||| 0|eng d
020 _a9784431538622
_9978-4-431-53862-2
024 7 _a10.1007/978-4-431-53862-2
_2doi
050 4 _aR856-857
072 7 _aMQW
_2bicssc
072 7 _aTEC009000
_2bisacsh
082 0 4 _a610.28
_223
100 1 _aDoi, Shinji.
_eauthor.
245 1 0 _aComputational Electrophysiology
_h[electronic resource] :
_bDynamical Systems and Bifurcations /
_cby Shinji Doi, Junko Inoue, Zhenxing Pan, Kunichika Tsumoto.
264 1 _aTokyo :
_bSpringer Japan :
_bImprint: Springer,
_c2010.
300 _a140p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aA First Course in “In Silico Medicine” ;
_v2
505 0 _aA Very Short Trip on Dynamical Systems -- The Hodgkin–Huxley Theory of Neuronal Excitation -- Computational and Mathematical Models of Neurons -- Whole System Analysis of Hodgkin–Huxley Systems -- Hodgkin–Huxley-Type Models of Cardiac Muscle Cells.
520 _aBiological 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 mathematical models have succeeded. This book provides a practical and quick guide to both computational electrophysiology and numerical bifurcation analysis. Bifurcation analysis is a very powerful tool for the analysis of such highly nonlinear biological systems. Bifurcation theory provides a way to analyze the effect of a parameter change on a system and to detect a critical parameter value when the qualitative nature of the system changes. Included in this work are many examples of numerical computations 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.
650 0 _aEngineering.
650 0 _aMedicine.
650 0 _aBiochemistry.
650 0 _aBiomedical engineering.
650 1 4 _aEngineering.
650 2 4 _aBiomedical Engineering.
650 2 4 _aMolecular Medicine.
650 2 4 _aMedicinal Chemistry.
700 1 _aInoue, Junko.
_eauthor.
700 1 _aPan, Zhenxing.
_eauthor.
700 1 _aTsumoto, Kunichika.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9784431538615
830 0 _aA First Course in “In Silico Medicine” ;
_v2
856 4 0 _uhttp://dx.doi.org/10.1007/978-4-431-53862-2
912 _aZDB-2-ENG
999 _c113075
_d113075