Frank Jäkel

This paper introduces HOPE, a method for efficiently estimating high-dimensional psychometric functions by adaptively selecting stimuli, reducing uncertainty faster than traditional methods.

The paper investigates how stimulus prior and reward probability affect response bias in perceptual decision making using rats, finding that reward ratios have a more significant impact than stimulus presentation ratios.

This paper investigates how stimulus uncertainty and relative reward rates influence adaptive decision-making in rats and pigeons, showing that models incorporating these factors better explain behavior than existing models.

The paper investigates how reinforcement and its omission affect trial-by-trial changes in response bias during perceptual decision-making in rats, finding that a generalized matching law-based model better explains the data than traditional criterion learning models.