Principles of computational modelling in neuroscience / David Sterratt [and others].

Contributor(s):

Sterratt, David, 1973-

Material type: Text

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781139042550
1139042556
9780521877954
0521877954
9781139045193
1139045199
9780511975899
0511975899
1316088227
9781316088227
1139036327
9781139036320
1283193183
9781283193184
9786613193186
6613193186
1139041789
9781139041782
1139038648
9781139038645
1139041010
9781139041010

Subject(s): Genre/Form:

Electronic books.

Additional physical formats: Print version:: Principles of computational modelling in neuroscience.DDC classification:

612.801/13 22

LOC classification:

QP357.5 .P75 2011eb

NLM classification:

WL 26.5

Other classification:

MED057000

Online resources:

Click here to access online

Contents:

Cover; Half-title; Title; Copyright; Contents; Abbreviations; Preface; Acknowledgements; Chapter 1: Introduction; Chapter 2: The basis of electrical activity in the neuron; Chapter 3: The Hodgkin-Huxley model of the action potential; Chapter 4: Compartmental models; Chapter 5: Models of active ion channels; Chapter 6: Intracellular mechanisms; Chapter 7: The synapse; Chapter 8: Simplified models of neurons; Chapter 9: Networks of neurons; Chapter 10: The development of the nervous system; Chapter 11: Farewell; Appendix A: Resources; Appendix B: Mathematical methods; References; Index.

Summary: "The 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"-- Provided by publisher

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Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

"The 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"-- Provided by publisher