Joshua I. Sanders

This study shows that humans, rats, and mice invest time based on statistical confidence, approaching optimal time allocation strategies under uncertainty.

This paper develops a standardized task for measuring decision-making in mice, showing reproducible results across multiple laboratories and providing a public dataset and tools.

This paper introduces an automated system for training rodents in the 5-choice serial reaction time task, showing it improves learning speed and reduces stress compared to manual methods.

This study identifies distinct behavioral modules in fruit flies during foraging, showing they combine navigational and learning-based strategies to locate rewards.

This paper defines statistical decision confidence as a Bayesian posterior probability and shows that lowest average confidence occurs when classifiers make errors with strong evidence.