Alan Johnston

The paper introduces a new paradigm to measure perceived time and metacognitive judgments, and applies a model to analyze variability across different intervals and stimulus modalities.

The paper introduces a more robust measure of metacognitive sensitivity that accounts for non-normal distributions of experiences, providing Matlab code for implementation.

The paper shows that signal-detection theory analyses of confidence can systematically underestimate metacognitive inefficiency when data violate the normality assumption.

The paper challenges the idea that alpha-band oscillations are a default state by showing they can be increased when eyes are closed after adaptation to radial motion.

The paper investigates how neural oscillations relate to predictive success in visual tasks by analyzing brain activity during basketball video viewing.