This repository contains a Python notebook Photometry data preprocessing.ipynb which demonstrates methods for pre-processing neuroscience fiber photometry data, including denoising, photobleaching and motion correction, and normalisation.
For more information of photometry data acquisition, pre-processing, and analysis see our Neuron Primer article.
See also our github repositories covering data organisation and analysis for fiber photometry experiments in decision making tasks with a discrete trial structure.
