作者: Nick Yeung , Rafal Bogacz , Clay B. Holroyd , Jonathan D. Cohen
DOI: 10.1111/J.1469-8986.2004.00239.X
关键词:
摘要: The signal averaging approach typically used in ERP research assumes that peaks waveforms reflect neural activity is uncorrelated with the ongoing EEG. However, this assumption has been challenged by suggesting event-related synchronization of EEG oscillations. In study, we investigated validity a set methods have to demonstrate particular result from synchronized We simulated epochs data superimposing phasic on noise characterized power spectrum When applied data, question produced results previously interpreted as evidence oscillations, even though no such synchrony was present. These findings suggest proposed analysis may not effectively disambiguate competing views generation.