Principles of Computational Modelling in Neuroscience - Rilegato

Sterratt, David; Graham, Bruce; Gillies, Andrew; Einevoll, Gaute; Willshaw, David

Rilegato

ISBN 10: 1108483143 ISBN 13: 9781108483148

Casa editrice: Cambridge Univ Pr, 2023

Riassunto

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.

Dettagli dell'edizione

• Editore: Cambridge Univ Pr
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 1108483143
• ISBN 13: 9781108483148
• Rilegatura: Copertina rigida
• Numero edizione: 2
• Numero di pagine: 535
• Contatto del produttore: Cambridge University Press; https://www.cambridge.org/; ; Via Honduras,15; Pomezia; Italia; 71; Italia