mTRFpy is a re-implementation and expansion of the Matlab mTRF-toolbox in Python. It provides methods for estimating multivariate linear mappings between continuous time-series that are often used in neuroscience.

This Python package estimates the headpose from individual images. It was written to track the head position of participants during experiments in a sound-attenuated chamber.

We established an experimental setup to study sound localization behavior in a controlled environment using arrays of loudspeakers, digital signal processors, infra-red cameras and custom Python code.

We investigated how the human brain represents sound elevation by measuring brain responses to sounds from different locations using lectroencephalography. We show that elevation can be decoded from those responses and that decoding predicts localization accuracy.

Slab was designed for creating and running experiments on acoustic perception while providing a good learning experience for users lacking prior experience in coding. It is routinely used by students and researchers in auditory neuroscience.