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Review
. 2015 Aug:55:88-97.
doi: 10.1016/j.neubiorev.2015.04.006. Epub 2015 Apr 28.

There are things that we know that we know, and there are things that we do not know we do not know: Confidence in decision-making

Affiliations
Review

There are things that we know that we know, and there are things that we do not know we do not know: Confidence in decision-making

Piercesare Grimaldi et al. Neurosci Biobehav Rev. 2015 Aug.

Abstract

Metacognition, the ability to think about our own thoughts, is a fundamental component of our mental life and is involved in memory, learning, planning and decision-making. Here we focus on one aspect of metacognition, namely confidence in perceptual decisions. We review the literature in psychophysics, neuropsychology and neuroscience. Although still a very new field, several recent studies suggest there are specific brain circuits devoted to monitoring and reporting confidence, whereas others suggest that confidence information is encoded within decision-making circuits. We provide suggestions, based on interdisciplinary research, to disentangle these disparate results.

Keywords: Awareness; Confidence; Consciousness; Metacognition; Monitoring.

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Figures

Figure1
Figure1
Signal detection theory for performance (A, B) and confidence (C, D). A. Distribution of internal responses for two stimuli, S1 and S2. The observer sets a criterion C such as all responses that are higher than C are considered as belonging to S2, all those that are lower than C are considered S1. Figure B shows the ROC curve generated by distribution in A. The observer also sets additional criteria Co1 and Co2, such that the responses that are lower than Co1 and higher than Co2 are endorsed with high confidence. Figure C shows only the part of the graph that surpasses C. Figure D: ROC curve generated by swiping Co2 in Figure C. Modified from (Maniscalco and Lau, 2012).
Figure 2
Figure 2
Map of the areas involved in confidence in the human (left; basal ganglia in grey) and monkey brain (right). 1: antero-medial prefrontal cortex (Del Cul et al., 2009), 2, 4: anterior prefrontal cortex and temporal lobe (Fleming et al., 2010), 3: Brodmann area 46 (Lau and Passingham, 2006), 5: ventral striatum (Hebart et al., 2014), 6: pulvinar (Komura et al., 2013), 7: SEF (Middlebrooks and Sommer, 2012), 8: LIP (Kiani and Shadlen, 2009). 9: OFC. Areas in red are those that are solely involved in confidence. Areas in blue are those involved in both confidence and decision-making.
Figure 3
Figure 3
Schematic representation of the diffusion (A) and 2DSD model (B). A. Diffusion model: The black jagged line depicts the accumulation process when the observer chooses alternative B. The boundaries (b1 and b2) are arbitrarily set by the observer as a decision criterion. B. 2DSD model. In this model the accumulation continues after the decision is taken to give a confidence judgment (time 2). Modified from (Pleskac and Busemeyer, 2010).
Figure 4
Figure 4
Two examples of how the distribution of the prior and the likelihood can influence the posterior in Bayesian statistics.

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