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  1. Domain-general and Domain-specific Patterns of Activity Support Metacognition in Human Prefrontal Cortex.Jorge Morales, Hakwan Lau & Stephen M. Fleming - 2018 - The Journal of Neuroscience 38 (14):3534-3546.
    Metacognition is the capacity to evaluate the success of one's own cognitive processes in various domains; for example, memory and perception. It remains controversial whether metacognition relies on a domain-general resource that is applied to different tasks or if self-evaluative processes are domain specific. Here, we investigated this issue directly by examining the neural substrates engaged when metacognitive judgments were made by human participants of both sexes during perceptual and memory tasks matched for stimulus and performance characteristics. By comparing patterns (...)
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  • Subjective discriminability of invisibility: A framework for distinguishing perceptual and attentional failures of awareness.Ryota Kanai, Vincent Walsh & Chia-Huei Tseng - 2010 - Consciousness and Cognition 19 (4):1045-1057.
    Conscious visual perception can fail in many circumstances. However, little is known about the causes and processes leading to failures of visual awareness. In this study, we introduce a new signal detection measure termed subjective discriminability of invisibility that allows one to distinguish between subjective blindness due to reduction of sensory signals or to lack of attentional access to sensory signals. The SDI is computed based upon subjective confidence in reporting the absence of a target . Using this new measure, (...)
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  • Domain-specific and domain-general processes underlying metacognitive judgments.Lisa M. Fitzgerald, Mahnaz Arvaneh & Paul M. Dockree - 2017 - Consciousness and Cognition 49:264-277.
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  • How to measure metacognition.Stephen Fleming & Hakwan Lau - 2014 - Frontiers in Human Neuroscience 8 (443):1–9.
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  • A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings.Brian Maniscalco & Hakwan Lau - 2012 - Consciousness and Cognition 21 (1):422-430.
    How should we measure metacognitive sensitivity, i.e. the efficacy with which observers’ confidence ratings discriminate between their own correct and incorrect stimulus classifications? We argue that currently available methods are inadequate because they are influenced by factors such as response bias and type 1 sensitivity . Extending the signal detection theory approach of Galvin, Podd, Drga, and Whitmore , we propose a method of measuring type 2 sensitivity that is free from these confounds. We call our measure meta-d′, which reflects (...)
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