pyExpraA

pyExpraA is a Python library designed for the analysis of experimental data, particularly focusing on electrophysiology recordings. It provides tools for data loading, preprocessing, segmentation, and feature extraction. The library aims to streamline common tasks encountered in neuroscience and related research fields, enabling researchers to efficiently process and analyze their experimental outputs.

The core functionalities of pyExpraA include reading data from various electrophysiological file formats, applying filters to remove noise, and identifying segments of interest within continuous recordings. It offers algorithms for spike detection and sorting, allowing for the isolation of individual neuronal action potentials. Furthermore, pyExpraA facilitates the calculation of a range of quantitative features from the processed data, such as firing rates, spike timing precision, and inter-spike interval distributions. The library is built with an emphasis on modularity and extensibility, allowing users to integrate their custom analysis routines. Its open-source nature encourages community contributions and fosters collaborative development. pyExpraA is intended for researchers who need a robust and flexible framework for handling and interpreting complex electrophysiological datasets.