0
Your cart

Your cart is empty

Books > Social sciences > Psychology > Physiological & neuro-psychology

Buy Now

Analyzing Neural Time Series Data - Theory and Practice (Hardcover) Loot Price: R1,796
Discovery Miles 17 960
You Save: R228 (11%)
Analyzing Neural Time Series Data - Theory and Practice (Hardcover): Mike X. Cohen

Analyzing Neural Time Series Data - Theory and Practice (Hardcover)

Mike X. Cohen

Series: The MIT Press

 (sign in to rate)
List price R2,024 Loot Price R1,796 Discovery Miles 17 960 | Repayment Terms: R168 pm x 12* You Save R228 (11%)

Bookmark and Share

Expected to ship within 9 - 15 working days

A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the "analyze now" button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.

General

Imprint: MIT Press
Country of origin: United States
Series: The MIT Press
Release date: 2014
First published: 2014
Authors: Mike X. Cohen (Research Scientist)
Dimensions: 229 x 203 x 32mm (L x W x T)
Format: Hardcover - Cloth over boards
Pages: 600
ISBN-13: 978-0-262-01987-3
Categories: Books > Social sciences > Psychology > Physiological & neuro-psychology
Books > Medicine > Other branches of medicine > Medical imaging > Tomography
LSN: 0-262-01987-6
Barcode: 9780262019873

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners