Analysis of Neural Data

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Éditeur :

Springer


Collection :

Springer Series in Statistics

Paru le : 2014-07-08

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Description

Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work.
Pages
648 pages
Collection
Springer Series in Statistics
Parution
2014-07-08
Marque
Springer
EAN papier
9781461496014
EAN EPUB
9781461496021

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
64
Taille du fichier
10680 Ko
Prix
168,79 €