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.
Several chapters are available online at no cost:
Chapter 11- A Closer Look at Averaging: Convolution, Latency Variability, and Overlap
Chapter 12- Time and Frequency: A Closer Look at Filtering and Time-Frequency Analysis
Chapter 13- The Mass Univariate Approach and Permutation Statistics
Chapter 14- ERP Localization
Chapter 15- Reading, Writing, and Reviewing ERP Papers
Chapter 16- Setting Up and Running an ERP Lab
Steven J. Luck & Emily S. Kappenman (Editors)
Event-related potentials (ERPs) have been used for decades to study perception, cognition, emotion, neurological and psychiatric disorders, development, and agin. ERPs consist of multiple components that reflect specific neurocognitive processes. In the past, there was no single source that could be consulted to learn about all the major ERP components; learning about a single ERP component required reading dozens or even hundreds of separate journal articles and book chapters. The Oxford Handbook of Event-Related Potential Components fills this longstanding void with a detailed and comprehensive review of the major ERP components. Comprising 22 chapters by the field's founders and leading researchers, this volume offers extensive coverage of the most widely used ERP components.