  Recently, the computational neuroscience community has pushed for more
transparent and reproducible methods across the field. In the interest of
unifying the domain of auditory neuroscience, naplib-python provides an
intuitive and general data structure for handling all neural recordings and
stimuli, as well as extensive preprocessing, feature extraction, and analysis
tools which operate on that data structure. The package removes many of the
complications associated with this domain, such as varying trial durations and
multi-modal stimuli, and provides a general-purpose analysis framework that
interfaces easily with existing toolboxes used in the field.
