Finding neural correlates of drift diffusion processes in EEG oscillations


Recent studies have begun to elucidate the neural correlates of evidence accumulation in perceptual decision making. Few of them have used a combined modeling-electrophysiological approach to studying evidence accumulation. We introduce a novel multivariate approach to EEG analysis with which we can perform a comprehensive search for neural correlates of dynamics predicted by the drift diffusion model. We show that the dynamics of evidence accumulation are correlated with decreases in the 4-9 Hz theta band over the course of a trial. The rate of decrease in this band correlates with individual differences in fitted drift diffusion model parameters.

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