000			01764nam a22002537a 4500
003			NU
005			20240326165807.0
008			240307b ph ||||| |||| 00| 0 eng d
020			_a978-0-521-18305-5 _q(pbk.)
040			_cNU Fairview
050	0	0	_aQP 363 S65 2019
100	1		_aSmith, Greg Conradi, _eauthor
245	1	0	_aCellular biophysics and modeling : _ba primer on the computational biology of excitable cells / _cGreg Conradi Smith.
264		1	_aCambridge ; _aNew York, NY : _bCambridge University Press, _cc2019.
300			_axii, 382 pages ; _c25 cm. _billustrations ;
504			_aIncludes index.
505	0		_aCompartmental modeling -- Phase diagrams -- Ligands, receptors & rate laws -- Function families & characteristic times -- Bifurcation diagrams of scalar ODEs -- The Nernst equilibrium potential -- The current balance equation -- GHK theory of membrane permeation -- Voltage-gated ionic currents -- Regenerative ionic currents and bistability -- Voltage-clamp recording -- Hodgkin-Huxley model of the action potential -- The Morris-Lecar model -- Phase plane analysis -- Linear stability analysis -- Type II excitability and oscillations (the Hopf bifurcation) -- Type I excitability and oscillations (SNIC & SHO bifurcations) -- The low-threshold calcium spike -- Synaptic currents.
520			_a"It must also be supposed that the cell bodies and the dendrites are, in the same way as the axis cylinders, conductive devices, as they represent the intermediary links between afferent nerve fibres and the afore-mentioned axons"-- _cProvided by publisher.
650		0	_aEXCIATATION (PHYSIOLOGY) _xMATHEMATICAL MODELS.
650		0	_aBIOPHYSISCS.
650		0	_aCELL PHYSIOLOGY.
650		0	_aCOMPUTATIONAL BIOLOGY.
942			_2lcc _cBK _n0
999			_c4575 _d4575