pynapple: python neural analysis package

Pynapple is a light-weight python library for neurophysiological data analysis.

The goal is to offer a versatile set of tools to study typical data in the field, i.e. time series (spike times, behavioral events, etc.) and time intervals (trials, brain states, etc.).

It also provides users with generic functions for neuroscience such as tuning curves, cross-correlograms and filtering.

Installing

Getting started

Citing

Time Series

./user_guide/04_core_methods.html

Decoding

./user_guide/07_decoding.html

Perievent

./user_guide/08_perievent.html

Correlation

./user_guide/05_correlograms.html

Tuning curves

./user_guide/06_tuning_curves.html

Wavelets

./user_guide/11_wavelets.html

Filtering

./user_guide/07_decoding.html

Support

This package is supported by the Center for Computational Neuroscience, in the Flatiron Institute of the Simons Foundation