Specific neural and computational processes underlie confidence ratings in cognitive decision-making
Specific neural and computational frameworks successfully capture the mechanisms underlying confidence ratings and metacognitive processes in cognitive decision-making.
The retrieved papers provide robust psychophysical, neural, and computational evidence that distinct neural dynamics and computational models (such as evidence accumulation and metacognitive control) underlie confidence ratings. Although papers like [6] debate the exact nature of the Bayesian confidence hypothesis, the overarching literature heavily supports the claim that specific neural and computational processes govern confidence.
A. Braun, Anne E. Urai, T. Donner. Adaptive History Biases Result from Confidence-Weighted Accumulation of past Choices. 2017. https://doi.org/10.1523/JNEUROSCI.2189-17.2017
The study demonstrates that confidence-weighted decision variables accumulate across choices to influence history biases in cognitive decision-making.
See more details
Medha Shekhar, D. Rahnev. How do humans give confidence? A comprehensive comparison of process models of perceptual metacognition. 2023. https://doi.org/10.1037/xge0001524
Multiple process models successfully quantify how human confidence ratings are generated using distinct computational assumptions.
Douglas Lee, Jean Daunizeau. Trading Mental Effort for Confidence in the Metacognitive Control of Value-Based Decision-Making. 2019. https://doi.org/10.1101/837054
The computational model of metacognitive control shows how effort and confidence trade off during value-based decision-making.
Wei Dou, Shirin Afrakhteh, Jason Samaha. Metacognitive Introspection Alters the Dynamics of Pre-Decisional Neural Evidence Accumulation. 2024. https://doi.org/10.1101/2024.11.26.625501
Neural evidence accumulation dynamics (such as the central-parietal positivity) are directly altered by metacognitive introspection and confidence ratings.
The paper trail · every fact has a biography
Challenge the receipt
Citation formatting by citeproc-js (Frank Bennett) and the Citation Style Language project. Source and licenses.
Terms · Privacy · How verdicts work · Dispute this receipt