02368nam a22003858a 4500001001600000003000700016005001700023006001900040007001500059008004100074020002600115020002900141040002400170050002400194082001900218100003000237245014500267264005200412300005900464336002600523337002600549338003600575500007300611520097600684650003101660650002501691650002401716650002201740650002601762700002801788700003001816700003001846776003501876856007101911CR9780511975899UkCbUP20180107143414.0m|||||o||d||||||||cr||||||||||||101011s2011||||enk s ||1 0|eng|d a9780511975899 (ebook) z9780521877954 (hardback) aUkCbUPcUkCbUPerda00aQP357.5 b.P75 201100a612.801/132221 aSterratt, David,eauthor.10aPrinciples of Computational Modelling in Neuroscience / [electronic resource]cDavid Sterratt, Bruce Graham, Andrew Gillies, David Willshaw. 1aCambridge :bCambridge University Press,c2011. a1 online resource (401 pages) :bdigital, PDF file(s). atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier aTitle from publisher's bibliographic system (viewed on 09 Oct 2015). 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. 0aComputational neuroscience 0aModels, Neurological 0aComputer Simulation 0aNeural Conduction 0aSynaptic Transmission1 aGraham, Bruce,eauthor.1 aGillies, Andrew,eauthor.1 aWillshaw, David,eauthor.08iPrint version: z978052187795440uhttp://dx.doi.org/10.1017/CBO9780511975899zCambridge Books Online