Computational Modeling Methods for Neuroscientists
Erik De Schutter
Abstract
This book offers an introduction to current methods in computational modeling in neuroscience, and describes realistic modeling methods at levels of complexity ranging from molecular interactions to large neural networks. A “how to” book rather than an analytical account, it focuses on the presentation of methodological approaches, including the selection of the appropriate method and its potential pitfalls. The book is intended for experimental neuroscientists and graduate students who have little formal training in mathematical methods, but will also be useful for scientists with theoretical ... More
This book offers an introduction to current methods in computational modeling in neuroscience, and describes realistic modeling methods at levels of complexity ranging from molecular interactions to large neural networks. A “how to” book rather than an analytical account, it focuses on the presentation of methodological approaches, including the selection of the appropriate method and its potential pitfalls. The book is intended for experimental neuroscientists and graduate students who have little formal training in mathematical methods, but will also be useful for scientists with theoretical backgrounds who want to start using data-driven modeling methods. The mathematics needed are kept to an introductory level; the first chapter explains the mathematical methods the reader needs to master to understand the rest of the book. The chapters are written by scientists who have successfully integrated data-driven modeling with experimental work, so all of the material is accessible to experimentalists and offers comprehensive coverage with little overlap, and extensive cross-references moving from basic building blocks to more complex applications.
Keywords:
computational modeling,
neuroscience,
modeling methods,
molecular interactions,
neural networks,
experimental neuroscientists,
mathematical methods,
data-driven modeling,
experimental work,
experimentalists
Bibliographic Information
| Print publication date: 2009 |
Print ISBN-13: 9780262013277 |
| Published to MIT Press Scholarship Online: August 2013 |
DOI:10.7551/mitpress/9780262013277.001.0001 |
