期刊
PSYCHOPHYSIOLOGY
卷 48, 期 12, 页码 1631-1647出版社
WILEY
DOI: 10.1111/j.1469-8986.2011.01269.x
关键词
mental chronometry; event-related potentials; single-trial responses; component separation; face recognition
资金
- Hong Kong Baptist University
- Hong Kong Research Grants Council [HKBU 202710]
- State of Berlin (NaFoG)
Event-related brain potentials (ERPs) are important research tools because they provide insights into mental processing at high temporal resolution. Their usefulness, however, is limited by the need to average over a large number of trials, sacrificing information about the trial-by-trial variability of latencies or amplitudes of specific ERP components. Here we propose a novel method based on an iteration strategy of the residues of averaged ERPs (RIDE) to separate latency-variable component clusters. The separated component clusters can then serve as templates to estimate latencies in single trials with high precision. By applying RIDE to data from a face-priming experiment, we separate priming effects and show that they are robust against latency shifts and within-condition variability. RIDE is useful for a variety of data sets that show different degrees of variability and temporal overlap between ERP components.
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