herPsi

herPsi is a computational tool designed for the analysis of psychophysical data. It provides researchers with a framework for modeling and interpreting experimental results related to perception and cognition. The software aims to facilitate the application of various psychophysical methods and theoretical models to datasets.

The core functionality of herPsi revolves around its ability to fit psychometric functions to observed data. This allows for the estimation of key perceptual parameters, such as thresholds and decision biases. The tool supports a range of common psychometric models, including logistic, Weibull, and Gumbel functions, offering flexibility in data fitting.

herPsi is developed with an emphasis on user-friendliness and accessibility. It typically operates through a graphical user interface, allowing users to load their data, select models, and visualize the fitting results without extensive programming knowledge. This feature is intended to make advanced psychophysical analysis more approachable for a broader range of researchers.

Beyond basic fitting, herPsi may offer additional analytical capabilities. These could include tools for comparing different models, performing statistical tests on estimated parameters, or visualizing the confidence intervals of fitted curves. The software is often utilized in fields such as vision science, auditory perception, and cognitive psychology to quantify perceptual performance and understand underlying cognitive processes. Its development is generally driven by the need for robust and reproducible analysis in psychophysical research.