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Roger Ratcliff, Marios G. Philiastide, and Paul Sajda

Quality of evidence for perceptual decision making is indexed by trial-to-trial variability of the EEG. DDRM 4/19/09. Roger Ratcliff, Marios G. Philiastide, and Paul Sajda. Face/car discrimination task. early. late. model. EEG. behavior. goal.

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Roger Ratcliff, Marios G. Philiastide, and Paul Sajda

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  1. Quality of evidence for perceptual decision makingis indexed by trial-to-trial variability of the EEG DDRM 4/19/09 Roger Ratcliff, Marios G. Philiastide, and Paul Sajda

  2. Face/car discrimination task

  3. early late

  4. model EEG behavior goal Model fit uses % correct in RT quantiles ([0.1:0.2:0.9]), so cannot be fit on a trial-to-trial basis. => to look at trial-to-trial relationship between model and behavior, here single-trial EEG data is used. • Is there a relationship at the single-trial level?

  5. logic • EEG component amplitude was used to divide trials into those with high and low drift rate. • Then the model was fit separately to the 2 groups of trials. • The fit uses the behavioral results of the sorted trials to extract drift rate. • Main result: the drift rate was higher on trials with higher EEG

  6. Trials of stimulus condition One subject RT, % correct RT, % correct Fit model Fit model ? < Drift rate Drift rate

  7. simulation

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