An Introduction to the Event-related Potential Technique
The event-related potential (ERP) technique in cognitive neuroscience allows scientists to observe human brain activity that reflects specific cognitive processes. In An Introduction to the Event-Related Potential Technique, Steve Luck offers the first comprehensive guide to the practicalities of conducting ERP experiments in cognitive neuroscience and related fields, including affective neuroscience and experimental psychopathology. The book can serve as a guide for the classroom or the laboratory and as a reference for researchers who do not conduct ERP studies themselves but need to understand and evaluate ERP experiments in the literature. It summarizes the accumulated body of ERP theory and practice, providing detailed, practical advice about how to design, conduct, and interpret ERP experiments and presents the theoretical background needed to understand why an experiment is carried out in a particular way. Luck focuses on the most fundamental techniques, describing them as they are used in many of the world's leading ERP laboratories. These techniques provide an excellent foundation for more advanced approaches and reflect a long history of electrophysiological recordings.
The book also provides advice on the key topic of how to design ERP experiments so that they will be useful in answering questions of broad scientific interest. This reflects the increasing proportion of ERP research that focuses on these broader questions rather than the "ERPology" of early studies that concentrated primarily on ERP components and methods. Topics covered include the neural origins of ERPs, signal averaging, artifact rejection and correction, filtering, measurement and analysis, localization, and the practicalities of setting up the lab.
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An Introduction to EventRelated Potentials and Their Neural
A Real Experiment
Advantages and Disadvantages of the ERP Technique
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50 percent area activity alpha waves amplifier ANOVA approach artifact rejection attenuate averaged ERP waveforms BESA blinks brain causal filters chapter cognitive cortical cutoff frequency digitization dipoles distortion effect electrical noise electrode sites elicited ERP component ERP experiments ERP researchers ERP waveform error event codes event-related potentials example experimental eye movements filtered waveform fMRI Fourier frame buffer frequency domain frequency response frequency response function gaussian half-amplitude cutoff high-pass filter Hillyard impedance impulse response function increase large number lead low-pass filter magnetic field measurement window N2pc nontarget number of trials onset oscillations output overlap p-value P3 wave panel peak amplitude percent area latency pixel possible prestimulus problem reflects relatively scalp distribution shifts shown in figure shows signal significant sine wave single-trial solution source localization subjects target technique temporal threshold tion typically usually visual voltage zero
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