000 02362nam a22003857a 4500
001 sulb-eb0017194
003 BD-SySUS
005 20160405140638.0
008 101011s2011||||enk o ||1 0|eng|d
020 _a9780511975899 (ebook)
020 _z9780521877954 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
_dBD-SySUS.
050 0 0 _aQP357.5
_b.P75 2011
082 0 0 _a612.801/13
_222
100 1 _aSterratt, David,
_eauthor.
245 1 0 _aPrinciples of Computational Modelling in Neuroscience /
_cDavid Sterratt, Bruce Graham, Andrew Gillies, David Willshaw.
264 1 _aCambridge :
_bCambridge University Press,
_c2011.
300 _a1 online resource (404 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 04 Apr 2016).
520 _aThe nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include the effects of neuronal morphology, synapses, ion channels and intracellular signalling. The principle of abstraction is explained through chapters on simplifying models, and how simplified models can be used in networks. This theme is continued in a final chapter on modelling the development of the nervous system. Requiring an elementary background in neuroscience and some high school mathematics, this textbook is an ideal basis for a course on computational neuroscience.
650 0 _aComputational neuroscience
650 0 _aModels, Neurological
650 0 _aComputer Simulation
650 0 _aNeural Conduction
650 0 _aSynaptic Transmission
700 1 _aGraham, Bruce,
_eauthor.
700 1 _aGillies, Andrew,
_eauthor.
700 1 _aWillshaw, David,
_eauthor.
776 0 8 _iPrint version:
_z9780521877954
856 4 0 _uhttp://dx.doi.org/10.1017/CBO9780511975899
942 _2Dewey Decimal Classification
_ceBooks
999 _c38632
_d38632