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Dan Bang

Researcher at University College London

Publications -  32
Citations -  1514

Dan Bang is an academic researcher from University College London. The author has contributed to research in topics: Group decision-making & Metacognition. The author has an hindex of 15, co-authored 31 publications receiving 1115 citations. Previous affiliations of Dan Bang include Aarhus University Hospital & Wellcome Trust Centre for Neuroimaging.

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Supra-personal cognitive control and metacognition

TL;DR: A ‘dual systems’ framework for thinking about metacognition is proposed that allows agents to share metacognitive representations and creates benefits for the group and facilitates cumulative culture.
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Distinct encoding of decision confidence in human medial prefrontal cortex

TL;DR: A psychophysical task to decouple confidence in a perceptual decision from both the reliability of sensory evidence and the relation of such evidence with respect to a choice boundary is devised and is consistent with the proposal that the brain maintains choice-dependent and choice-independent estimates of certainty.
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Sociocultural patterning of neural activity during self-reflection

TL;DR: It is found that judgments of self vs a public figure elicited greater activation in the medial prefrontal cortex in Danish than in Chinese participants regardless of attribute dimensions for judgments, and individuals in different sociocultural contexts may learn and/or adopt distinct strategies for self-reflection by changing the weight of the mPFC and TPJ in the social brain network.
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Doubly Bayesian Analysis of Confidence in Perceptual Decision-Making

TL;DR: This paper presents a fully Bayesian method for directly comparing models of confidence and suggests that, while people’s confidence reports can reflect Bayes optimal computations, even a small unusual twist or additional element of complexity can prevent optimality.
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“Is voice a marker for Autism spectrum disorder? A systematic review and meta-analysis”

TL;DR: It is concluded that multivariate studies of acoustic patterns are a promising but yet unsystematic avenue for establishing ASD markers, and three recommendations for future studies are outlined.