Overview
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 and cross-correlograms.
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Getting Started
New to Pynapple? Checkout the quickstart.
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How-To Guide
Learn the pynapple API with notebooks.
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Neural Analysis
Explore fully worked examples to learn how to analyze neural recordings using pynapple.
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API
Access a detailed description of each module and function, including parameters and functionality.
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Installation Instructions
Run the following
pip
command in your virtual environment.For more information see:
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Community
To ask any questions or get support for using pynapple, please consider joining our slack.
Please send an email to thepynapple[at]gmail[dot]com to receive an invitation link.
To open an issue see :
Issues
License
Open source, licensed under MIT.