David Sterratt, Bruce Graham, Andrew Gillies

Principles of Computational Modelling in Neuroscience

• Gebundenes Buch

Produktbeschreibung

"Providing a step-by-step and practical account of how to model neurons and neural circuitry, this textbook is designed for advanced undergraduate and postgraduate students of computational neuroscience as well as for researchers in neuroscience and related sciences wishing to apply computational approaches to interpret data and make predictions"--

Produktdetails

• Verlag: Cambridge University Press
• 2nd Revised edition
• Seitenzahl: 544
• Erscheinungstermin: 5. Oktober 2023
• Englisch
• Abmessung: 258mm x 209mm x 34mm
• Gewicht: 1280g
• ISBN-13: 9781108483148
• ISBN-10: 1108483143
• Artikelnr.: 69073685

Autorenporträt

David Sterratt is Lecturer and Deputy Director of Learning and Teaching in the Institute for Adaptive and Neural Computation, School of Informatics, at the University of Edinburgh. He developed material for this book while teaching computational neuroscience to informatics, neuroscience, and neuroinformatics masters students. He has developed and maintains several scientific software packages.

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.