David Sterratt (University of Edinburgh), Bruce Graham (University of Stirling), Andrew Gillies

Principles of Computational Modelling in Neuroscience

• Gebundenes Buch

Produktbeschreibung

How to use techniques of computational modelling to understand the nervous system at all levels from ion channels to networks.

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This book is for neuroscientists at all levels and for people from the informational and physical sciences who want to develop computational models of the neuron and neural circuits. It presents the principles of computational neuroscience in a clear and coherent manner, and addresses practical issues that arise in modelling projects.

Produktdetails

• Verlag: Cambridge University Press
• New
• Seitenzahl: 404
• Erscheinungstermin: August 2011
• Englisch
• Abmessung: 260mm x 183mm x 26mm
• Gewicht: 918g
• ISBN-13: 9780521877954
• ISBN-10: 0521877954
• Artikelnr.: 32554683

Autorenporträt

David Sterratt is a Research Fellow in the School of Informatics at the University of Edinburgh. His computational neuroscience research interests include models of learning and forgetting, and the formation of connections within the developing nervous system.

Inhaltsangabe

Preface
Acknowledgements
List of abbreviations 1. Introduction
2. The basis of electrical activity in the neuron
3. The Hodgkin¿Huxley model of the action potential
4. Models of active ion channels
5. Modelling neurons over space and time
6. Intracellular mechanisms
7. The synapse
8. Simplified models of the neuron
9. Networks of neurons
10. Brain tissue
11. Plasticity
12. Development of the nervous system
13. Modelling measurements and stimulation
14. Model selection and optimisation
15. Farewell
References
Index.