Analysis of Neural Data (Paperback, Softcover reprint of the original 1st ed. 2014)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Statistics
Release date:	September 2016
First published:	2014
Authors:	Robert E. Kass • Uri T. Eden • Emery N. Brown
Dimensions:	235 x 155 x 35mm (L x W x T)
Format:	Paperback
Pages:	648
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-1-4939-4078-3
Categories:	Books > Social sciences > Psychology > Physiological & neuro-psychology Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
LSN:	1-4939-4078-3
Barcode:	9781493940783

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