In this study, we tested the hypothesis that the sense of confidence controls how much evidence we gather before making a new choice (i.e., the tradeoff between focusing on speed or on accuracy). 2/5
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To this end, we fitted data from three studies using the drift-diffusion model. As predicted, estimated decision bounds were increased as a function of confidence on the previous trial (see picture). Importantly, this was found independent of actual accuracy. 3/5pic.twitter.com/unpP8iUe2y
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We further showed that a centro-parietal evoked potential in the EEG (i.e., the Pe), known to be sensitive to fine-grained levels of decision confidence, predicts subsequent increase of decision bound. 4/5pic.twitter.com/u2RuFkLZi7
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We are excited about this work because (amongst others), it adds to the growing realization that internally computed confidence signals play a key role in the selection and adjustment of decision policies! 5/5
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