000			02133nam a22003618i 4500
001			CR9780511623202
003			UkCbUP
005			20200124160242.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090916s1988||||enk o ||1 0|eng|d
020			_a9780511623202 (ebook)
020			_z9780521352178 (hardback)
020			_z9780521019323 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQP361 _b.T76 1988
082	0	0	_a599/.0188 _219
100	1		_aTuckwell, Henry C. _q(Henry Clavering), _d1943- _eauthor.
245	1	0	_aIntroduction to theoretical neurobiology. _nVolume 2, _pNonlinear and stochastic theories / _cHenry C. Tuckwell.
264		1	_aCambridge : _bCambridge University Press, _c1988.
300			_a1 online resource (xi, 265 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aCambridge studies in mathematical biology ; _v8
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aThe second part of this two-volume set contains advanced aspects of the quantitative theory of the dynamics of neurons. It begins with an introduction to the effects of reversal potentials on response to synaptic input. It then develops the theory of action potential generation based on the seminal Hodgkin-Huxley equations and gives methods for their solution in the space-clamped and non-space-clamped cases. The remainder of the book discusses stochastic models of neural activity and ends with a statistical analysis of neuronal data with emphasis on spike trains. The mathematics is more complex in this volume than in the first volume and involves numerical methods of solution of partial differential equations and the statistical analysis of point processes.
650		0	_aNeurons _xMathematical models.
650		0	_aNeural transmission _xMathematical models.
776	0	8	_iPrint version: _z9780521352178
830		0	_aCambridge studies in mathematical biology ; _v8.
856	4	0	_uhttps://doi.org/10.1017/CBO9780511623202
999			_c518672 _d518670