Maik Christopher Stüttgen

The paper introduces MLIB, a Matlab toolbox for analyzing extracellular spike data, offering visualization and analysis tools for neurophysiological data.

The paper benchmarks spiking neural networks for whisker stimulus classification in mice, showing their accuracy, efficiency, and ability to generalize across individuals.

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.

The paper investigates how stimulus complexity affects working memory performance by analyzing neural coding patterns in avian prefrontal cortex.