PRINCIPLES OF COMPUTATIONAL MODELLING IN NEUROSCIENCE

DAVID STERRATT , BRUCE GRAHAM , ANDREW GILLIES , GAUTE EINEVOLL , DAVID WILLSHAW

ISBN 10: 1108716423 / ISBN 13: 9781108716420

Editore: CAMBRIDGE UNIVERSITY PRESS, 2023

Riguardo questo articolo

Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-11 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Codice articolo AD 9781108716420

Dati bibliografici

• Titolo: PRINCIPLES OF COMPUTATIONAL MODELLING IN NEUROSCIENCE
• Editore: CAMBRIDGE UNIVERSITY PRESS
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 1108716423
• ISBN 13: 9781108716420
• Rilegatura: Paperback
• Edizione: seconda edizione, Edizione Internazionale
• Condizione: Brand New

Descrizione articolo

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.