Topic: recall-based two-step decision task

Task design optimization using adaptive task difficulty adjustment has been used to improve behavioral performance [1]; however, its theory-free approach lacks feasibility for personalized cognitive enhancement. We aim to provide a computational framework for Cognitive Bias (CB) training with the goal of reducing cognitive bias (Fig.1A), particularly in memory and inference, that designs individually tailored task based on a metacognitive monitoring and control theory [2]. Our cognitive training strategy is inspired by the successes of neural network training through loss minimization. This fr