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Keywords: HDDM, MCMC, emotion, inhibition
Mid-frontal theta (4 – 8 Hz) and beta power (15 – 25 Hz) extracted from Go- trials of an emotional inhibition task (N = 34) predicted dynamic decision making in favor of emotional relative to neutral faces. Using single trial EEG data, we demonstrated that a hierarchical drift diffusion model could distinguish disgust and happy emotional conditions relative to neutral condition. The results throw light on dynamic decision making components modulated by distinct frequency bands at a single-trial level.