Brian Maniscalco

TL;DR: The measure meta-d', which reflects how much information, in signal-to-noise units, is available for metacognition, is called, and is found that subjects' metacognitive sensitivity was close to, but significantly below, optimality.

TL;DR: It is found that transcranial magnetic stimulation impaired subjects' ability to discriminate between correct and incorrect stimulus judgments, which suggests that activations in the prefrontal cortex in brain imaging experiments on visual awareness may reflect a critical metacognitive process.

TL;DR: It is found that gray matter volumes of the frontal polar and precuneus regions themselves correlated across individuals, and a formal model comparison analysis suggested that this structural covariation was sufficient to account for the behavioral correlation of metacognition in the two tasks.

TL;DR: This work uses intracranial electrophysiological recordings in humans together with machine-learning techniques to demonstrate that perceptual decisions and confidence rely on spatiotemporally separable neural representations in a face/house discrimination task, and uses normative computational models to show that confidence relies excessively on evidence supporting a decision.

TL;DR: It is found that attention can also lead to relatively conservative detection biases and lower visibility ratings in discrimination tasks, which may partially reflect the impression of 'seeing' the whole visual scene despite the authors' limited processing capacity outside of the focus of attention.