… Based on Bayesian adaptive testing, qCD selects the … perceptual sensitivity change over
time. We demonstrate the utility of the method in measuring the time course of dark adaptation. …

… Here, we implemented and validated a Bayesian adaptive procedure, the quick change
detection (qCD, see Figure 1) method developed by Zhao, Lesmes, and Lu (2017, 2019) to …

… , that achieves adaptive change detection by the use of … is also a fundamental problem for
perception and cognition [14–16]. … approach we propose, where the assessment of a change of …

… Since our goal was to examine low-level perceptual and … decision-making, during testing
category A probability π t was … Bayesian observer, we developed a Bayesian change-point …

… specific goals and tasks through flexible adaptation [8]. AI … is closer to the human visual
perception mechanism. For those … , change feature extraction, and accuracy assessment should …

… Those results mean differences in driving behavior and safety perception when a vehicle
changes lanes to the left and the right. Therefore, respective models are established. The …

… comparisons or confidence to assess latent memory strength. … We find that these adaptive
instructions increase estimates of … We found strong evidence for this hypothesis, with a Bayes …

… , such as over-learning from small perturbations and fast … that perceptual error, arising from
the optimal combination of movement-related cues, is the primary driver of implicit adaptation. …

… matrix factorisation model for change detection, exploring both the … , we introduce the naïve
Bayes classifier to utilize both the … as well as the evaluation criteria of the experiment results. …

… We use an adaptive Bayesian optimization method [43] to … that we believe is worth testing
explicitly here, because it has … decision noise”—is the change detection study by Keshvari et al. …