000			02741nam a22003618i 4500
001			CR9780511541612
003			UkCbUP
005			20200124160249.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090501s2006||||enk o ||1 0|eng|d
020			_a9780511541612 (ebook)
020			_z9780521843218 (hardback)
020			_z9780521115636 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQP363 _b.C285 2006
082	0	0	_a573.801/13 _222
100	1		_aCarnevale, Nicholas T., _eauthor.
245	1	4	_aThe NEURON book / _cNicholas T. Carnvale, Michael L. Hines.
264		1	_aCambridge : _bCambridge University Press, _c2006.
300			_a1 online resource (xix, 457 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aTour of the NEURON simulation environment -- Modeling perspective -- Expressing conceptual models in mathematical terms -- Essentials of numerical methods for neural modeling -- Representing neurons with a digital computer -- How to build and use models of individual cells -- how to control simulations -- How to initialize simulations -- How to expand NEURON's library of mechanisms -- Synaptic transmission and artificial spiking cells -- Modeling networks -- hoc, NEURON's interpreter -- Object-oriented programming -- How to modify NEURON itself.
520			_aThe authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.
650		0	_aNeurons _xComputer simulation.
650		0	_aNeural networks (Neurobiology) _xComputer simulation.
700	1		_aHines, Michael L., _eauthor.
776	0	8	_iPrint version: _z9780521843218
856	4	0	_uhttps://doi.org/10.1017/CBO9780511541612
999			_c519258 _d519256