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Principles of computational modelling in neuroscience /
"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 ci...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge ; New York :
Cambridge University Press,
Ã2011.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Principles of computational modelling in neuroscience / |c David Sterratt [and others]. |
| 260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c Ã2011. | ||
| 300 | |a 1 online resource (xi, 390 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 520 | |a "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"-- |c Provided by publisher | ||
| 504 | |a Includes bibliographical references (pages 351-381) and index. | ||
| 505 | 0 | |a 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. | |
| 588 | 0 | |a Print version record. | |
| 546 | |a English. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Computational neuroscience. | |
| 650 | 0 | |a Computer simulation. | |
| 650 | 0 | |a Digital computer simulation. | |
| 650 | 0 | |a Neural conduction. | |
| 650 | 0 | |a Neural transmission. | |
| 650 | 1 | 2 | |a Models, Neurological |
| 650 | 2 | 2 | |a Computer Simulation |
| 650 | 2 | 2 | |a Neural Conduction |
| 650 | 2 | 2 | |a Synaptic Transmission |
| 650 | 6 | |a Neurosciences informatiques. | |
| 650 | 6 | |a Simulation par ordinateur. | |
| 650 | 6 | |a Conduction nerveuse. | |
| 650 | 6 | |a Transmission nerveuse. | |
| 650 | 7 | |a simulation. |2 aat | |
| 650 | 7 | |a MEDICAL |x Neuroscience. |2 bisacsh | |
| 650 | 7 | |a PSYCHOLOGY |x Neuropsychology. |2 bisacsh | |
| 650 | 7 | |a Neural transmission. |2 fast |0 (OCoLC)fst01036280 | |
| 650 | 7 | |a Neural conduction. |2 fast |0 (OCoLC)fst01036255 | |
| 650 | 7 | |a Digital computer simulation. |2 fast |0 (OCoLC)fst00893651 | |
| 650 | 7 | |a Computer simulation. |2 fast |0 (OCoLC)fst00872518 | |
| 650 | 7 | |a Computational neuroscience. |2 fast |0 (OCoLC)fst00872004 | |
| 700 | 1 | |a Sterratt, David, |d 1973- | |
| 776 | 0 | 8 | |i Print version: |t Principles of computational modelling in neuroscience. |d Cambridge ; New York : Cambridge University Press, 2011 |z 9780521877954 |w (DLC) 2011001055 |w (OCoLC)690090171 |
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