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SUMMARY:Confidence predicts speed-accuracy tradeoff for subsequent decisio
 ns - Adam Triabhall
DTSTART:20230726T140000Z
DTEND:20230726T150000Z
UID:TALK203545@talks.cam.ac.uk
CONTACT:Adam Triabhall
DESCRIPTION:This week we will discuss and debate a recent paper by Desende
 r and colleagues\, published in eLife (2019).\n\nAbstract: “When externa
 l feedback about decision outcomes is lacking\, agents need to adapt their
  decision policies based on an internal estimate of the correctness of the
 ir choices (i.e.\, decision confidence). We hypothesized that agents use c
 onfidence to continuously update the tradeoff between the speed and accura
 cy of their decisions: When confidence is low in one decision\, the agent 
 needs more evidence before committing to a choice in the next decision\, l
 eading to slower but more accurate decisions. We tested this hypothesis by
  fitting a bounded accumulation decision model to behavioral data from thr
 ee different perceptual choice tasks. Decision bounds indeed depended on t
 he reported confidence on the previous trial\, independent of objective ac
 curacy. This increase in decision bound was predicted by a centro-parietal
  EEG component sensitive to confidence. We conclude that internally comput
 ed neural signals of confidence predict the ongoing adjustment of decision
  policies.” (Desender et al.\, 2019).\n\nReference: Desender\, K.\, Bold
 t\, A.\, Verguts\, T.\, & Donner\, T. H. (2019). Confidence predicts speed
 -accuracy tradeoff for subsequent decisions. eLife\, 8. https://doi.org/10
 .7554/eLife.43499
LOCATION:Kenneth Craik Seminar Room (Zoom link: www.bayslab.org/craikjc)
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