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Introduction to the Event-Related Potential Technique

Language EnglishEnglish
Book Paperback
Book Introduction to the Event-Related Potential Technique Steven J. Luck
Libristo code: 04561951
Publishers MIT Press Ltd, May 2014
The event-related potential (ERP) technique, in which neural responses to specific events are extrac... Full description
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The event-related potential (ERP) technique, in which neural responses to specific events are extracted from the EEG, provides a powerful noninvasive tool for exploring the human brain. This volume describes practical methods for ERP research along with the underlying theoretical rationale. It offers researchers and students an essential guide to designing, conducting, and analyzing ERP experiments. This second edition has been completely updated, with additional material, new chapters, and more accessible explanations. Freely available supplementary material, including several online-only chapters, offer expanded or advanced treatment of selected topics. The first half of the book presents essential background information, describing the origins of ERPs, the nature of ERP components, and the design of ERP experiments. The second half of the book offers a detailed treatment of the main steps involved in conducting ERP experiments, covering such topics as recording the EEG, filtering the EEG and ERP waveforms, and quantifying amplitudes and latencies. Throughout, the emphasis is on rigorous experimental design and relatively simple analyses. New material in the second edition includes entire chapters devoted to components, artifacts, measuring amplitudes and latencies, and statistical analysis; updated coverage of recording technologies; concrete examples of experimental design; and many more figures. Online chapters cover such topics as overlap, localization, writing and reviewing ERP papers, and setting up and running an ERP lab.

About the book

Full name Introduction to the Event-Related Potential Technique
Language English
Binding Book - Paperback
Date of issue 2014
Number of pages 416
EAN 9780262525855
ISBN 0262525852
Libristo code 04561951
Publishers MIT Press Ltd
Weight 672
Dimensions 178 x 228 x 19
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