Maik Christopher Stüttgen

MLIB: an easy-to-use Matlab toolbox for the analysis of extracellular spike data

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

Spiking neural networks provide accurate, efficient and robust models for whisker stimulus classification and allow for inter-individual generalization

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

Stimulus prior and reward probability differentially affect response bias in perceptual decision making

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.

Stimulus uncertainty and relative reward rates determine adaptive responding in perceptual decision-making

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.

Working memory performance is tied to stimulus complexity

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