Principles of Computational Modelling in Neuroscience (Paperback)
Language: English
Published by Cambridge University Press, Cambridge, 2023
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 88.99
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Paperback. Taking a step-by-step approach to modelling neurons and neural circuitry, this textbook teaches students how to use computational techniques to understand the nervous system at all levels, using case studies throughout to illustrate fundamental principles. Starting with a simple model of a neuron, the authors gradually introduce neuronal morphology, synapses, ion channels and intracellular signalling. This fully updated new edition contains additional examples and case studies on specific modelling techniques, suggestions on different ways to use this book, and new chapters covering plasticity, modelling extracellular influences on brain circuits, modelling experimental measurement processes, and choosing appropriate model structures and their parameters. The online resources offer exercises and simulation code that recreate many of the book's figures, allowing students to practice as they learn. Requiring an elementary background in neuroscience and high-school mathematics, this is an ideal resource for a course on computational neuroscience. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …
Seller Inventory # 9781108716420
- Title
- Principles of Computational Modelling in Neuroscience (Paperback)
- Author
- David Sterratt
- Publisher
- Cambridge University Press, Cambridge
- Publication year
- 2023
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1108716423
- ISBN 13
- 9781108716420
- Edition
- 2nd Edition
"Synopsis" may belong to another edition of this title.
About the Author
Bruce Graham is Emeritus Professor in Computing Science in the Faculty of Natural Sciences at the University of Stirling. He has been a researcher in computational neuroscience for more than 30 years and has served as a board member of the Organisation of Computational Neurosciences.
Andrew Gillies is Chief Technology Officer of Grid Software at GE Vernova. He has been actively involved in computational neuroscience research and his simulation model of the subthalamic nucleus projection neuron is recognised as a standard. He he has taught neuroscience modelling at Master's and Ph.D. level.
Gaute Einevoll is Professor of Physics at the Norwegian University of Life Sciences and the University of Oslo, working on modelling of nerve cells, networks of nerve cells, brain tissue, brain signals and development of neuroinformatics software tools, including LFPy.
David Willshaw is Emeritus Professor of Computational Neurobiology in the Institute for Adaptive and Neural Computation at the University of Edinburgh, where he led the innovative doctoral training programme in neuroinformatics and computational neuroscience. With over 40 years' research experience, he has received several awards including, most recently, the Braitenberg Award in Computational Neuroscience.
"About the title" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
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