An Introduction to the Event-related Potential TechniqueA guidebook on ERPs that offers practical descriptions of straightforward methods for recording and analysing ERP experiments along with a theoretical overview. 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. |
Contents
An Introduction to EventRelated Potentials and Their Neural | 1 |
The Design and Interpretation of ERP Experiments | 51 |
Basic Principles of ERP Recording | 99 |
Copyright | |
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Other editions - View all
An Introduction to the Event-Related Potential Technique, second edition Steven J. Luck Limited preview - 2014 |
Common terms and phrases
50 percent area action potentials activity alpha waves amplifier ANOVA approach artifact rejection attention attentional blink averaged ERP waveforms BESA blink brain causal filters chapter cognitive neuroscience cortex cortical difference waves digitization dipole distortion Donchin effect electrical noise electrode sites Electroencephalography elicited ERP component ERP experiments ERP recordings ERP researchers ERP waveform event codes event-related potentials example experimental eye movements filtered waveform fMRI frequency domain frequency response function gaussian half-amplitude cutoff high-pass filter Hillyard impedance impulse response function large number latency measure latent components low-pass filter Luck magnetic field mass nouns measurement window N2pc negative nontarget number of trials onset oscillations overlap p-value P3 wave panel peak amplitude peak latency percent area latency Picton pop-out possible prestimulus problem reflects scalp distribution shows signal significant single-trial source localization stimulus subjects target tion typically usually visual voltage zero