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SUMMARY:Computational Neuroscience Journal Club - Jakub Onysk and Yul Kang
DTSTART:20220614T140000Z
DTEND:20220614T153000Z
UID:TALK175667@talks.cam.ac.uk
CONTACT:Jake Stroud
DESCRIPTION:Please join us for our fortnightly journal club online via zoo
 m where two presenters will jointly present a topic together. The next top
 ic is ‘Neurocomputational basis of confidence in self and others’ pres
 ented by Jakub Onysk and Yul Kang.\n\nZoom information: https://us02web.zo
 om.us/j/84958321096?pwd=dFpsYnpJYWVNeHlJbEFKbW1OTzFiQT09 Meeting ID: 849 5
 832 1096 Passcode: 506576\n\nSummary:\nComputing confidence in one’s own
  and others’ decisions is crucial for success in many social situations.
  We first cover how people perform metacognitive assessment of the accurac
 y of their decision. We discuss a general Bayesian framework in which self
 -evaluation is cast as a “second-order” inference on a distinct system
 \, computationally equivalent to inferring the performance of another acto
 r. This model provides a unified account of confidence and error detection
 \, how one’s own actions affect metacognitive judgments\, and why people
 ’s metacognition may sometimes be better or worse than task performance.
 \n\nWe then move on to show how humans may estimate confidence in other pe
 ople. We discuss a recent account by Bang et al. (2022) which suggests tha
 t our confidence in others’ choices depends on the combination of our ow
 n independent estimate of the task difficulty and how good we think the ot
 her agent is at the task. To capture this dynamic\, the authors propose a 
 Bayesian Theory of Mind (ToM) computational model that predicts subjects
 ’ responses better than accounts which rely only on either self-projecti
 on or ability tracking. Finally\, the evidence of this computation is show
 n to implicate an interaction between regions of perceptual decision-makin
 g (human-LIP) and theory of mind (TPJ\, dmPFC).\n\nReferences:\n\nFleming\
 , S. M. & Daw\, N. D. Self-Evaluation of Decision-Making: A General Bayesi
 an Framework for Metacognitive Computation. Psychol Rev 124\, 91–114 (20
 17).\n\nBang\, D.\, Moran\, R.\, Daw\, N. D. & Fleming\, S. M. Neurocomput
 ational mechanisms of confidence in self and others. Biorxiv 2021.03.05.43
 4065 (2021) doi:10.1101/2021.03.05.434065.
LOCATION:Online on Zoom
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