A python toolbox for analyzing neural data such as electrocorticography (ECoG) or electroencephalography (EEG) paired with acoustic stimuli, naplib-python aims to facilitate the easy processing and analysis of neural-acoustic data - i.e., neural recordings collected from sensory systems in response to auditory stimuli. The collection of algorithms and methods in the package can be used with a wide variety of data modalities, enabling the easy transfer of methods and code between researchers in the field of auditory neuroscience.
This package was built by the Neural Acoustic Processing Lab at Columbia University. I contributed to its design, development and maintenance. We primarily use it for processing neural data coming from ECoG and EEG in order to study the auditory cortex.
Related publications
naplib-python: Neural Acoustic Data Processing and Analysis Tools in Python. Software Impacts (2023)