Principles of computational modelling in neuroscience /
Principles of computational modelling in neuroscience /
David Sterratt [and others].
- Cambridge ; New York : Cambridge University Press, ©2011.
- 1 online resource (xi, 390 pages) : illustrations
Includes bibliographical references (pages 351-381) and index.
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.
"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"--
English.
9781139042550 (electronic bk.) 1139042556 (electronic bk.) 9780521877954 0521877954 9781139045193 (e-book) 1139045199 (e-book) 9780511975899 (electronic bk.) 0511975899 (electronic bk.) 1316088227 9781316088227 1139036327 9781139036320 1283193183 9781283193184 9786613193186 6613193186 1139041789 9781139041782 1139038648 9781139038645 1139041010 9781139041010
9786613193186
319318 MIL
Computational neuroscience.
Computer simulation.
Digital computer simulation.
Neural conduction.
Neural transmission.
Models, Neurological
Computer Simulation
Neural Conduction
Synaptic Transmission
Neurosciences informatiques.
Simulation par ordinateur.
Conduction nerveuse.
Transmission nerveuse.
simulation.
MEDICAL--Neuroscience.
PSYCHOLOGY--Neuropsychology.
Computational neuroscience.
Electronic books.
QP357.5 / .P75 2011eb
612.801/13
WL 26.5
Includes bibliographical references (pages 351-381) and index.
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.
"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"--
English.
9781139042550 (electronic bk.) 1139042556 (electronic bk.) 9780521877954 0521877954 9781139045193 (e-book) 1139045199 (e-book) 9780511975899 (electronic bk.) 0511975899 (electronic bk.) 1316088227 9781316088227 1139036327 9781139036320 1283193183 9781283193184 9786613193186 6613193186 1139041789 9781139041782 1139038648 9781139038645 1139041010 9781139041010
9786613193186
319318 MIL
Computational neuroscience.
Computer simulation.
Digital computer simulation.
Neural conduction.
Neural transmission.
Models, Neurological
Computer Simulation
Neural Conduction
Synaptic Transmission
Neurosciences informatiques.
Simulation par ordinateur.
Conduction nerveuse.
Transmission nerveuse.
simulation.
MEDICAL--Neuroscience.
PSYCHOLOGY--Neuropsychology.
Computational neuroscience.
Electronic books.
QP357.5 / .P75 2011eb
612.801/13
WL 26.5