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Analysis of neural data [electronic resource] / Robert E. Kass, Uri T. Eden, and Emery N. Brown.

9781461496021 electronic book
1461496020 electronic book
9781461496014
1461496012

New York : Springer, [2014]

English

1 online resource (790 pages) : illustrations.

10.1007/978-1-4614-9602-1 doi

QP357.5

612.8 23

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.

Includes bibliographical references and index.

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Description based on print version record.

Springer series in statistics.

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