Abstract
In their recent Opinion article, Cohen and colleagues discuss the relative strengths of the event-related brain potential (ERP) and time-frequency (TF) techniques for investigating cognitive function [ 1 Cohen M.X. et al. Cortical electrophysiological network dynamics of feedback learning. Trends Cogn. Sci. 2011; 15: 558-566 Abstract Full Text Full Text PDF PubMed Scopus (106) Google Scholar ]. Their discussion pivots on the example of an ERP component called the feedback-related negativity (FRN), which we have proposed reflects the impact of dopamine-dependent reward prediction error (RPE) signals on anterior cingulate cortex (ACC) for the purpose of reinforcement learning [ 2 Holroyd C.B. Coles M.G.H. The neural basis of human error processing: reinforcement learning, dopamine, and the error-related negativity. Psychol. Rev. 2002; 109: 679-709 Crossref PubMed Scopus (2938) Google Scholar ]. We disagree with several of the authors’ arguments in [ 1 Cohen M.X. et al. Cortical electrophysiological network dynamics of feedback learning. Trends Cogn. Sci. 2011; 15: 558-566 Abstract Full Text Full Text PDF PubMed Scopus (106) Google Scholar ], as we explain below.
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