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Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data

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Systems Neuroscience Computing in Python

master: masterbuild dev: devbuild

Syncopy aims to be a user-friendly toolkit for large-scale electrophysiology data-analysis in Python. We strive to achieve the following goals:

  1. Syncopy is a fully open source Python environment for electrophysiology data analysis.
  2. Syncopy is scalable and built for very large datasets. It automatically makes use of available computing resources and is developed with built-in parallelism in mind.
  3. Syncopy is compatible with FieldTrip. Data and results can be loaded into MATLAB and Python, parameter names and function call syntax are as similar as possible

Syncopy is developed at the Ernst Strüngmann Institute (ESI) gGmbH for Neuroscience in Cooperation with Max Planck Society and released free of charge under the BSD 3-Clause "New" or "Revised" License.

Contact

To report bugs or ask questions please use our GitHub issue tracker. For general inquiries please contact syncopy (at) esi-frankfurt.de.

Installation

Syncopy is available on pip

pip install esi-syncopy

To get the latest development version, simply clone our GitHub repository:

git clone https://github.com/esi-neuroscience/syncopy.git

Getting Started

Please visit our online documentation.

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Systems Neuroscience Computing in Python: user-friendly analysis of large-scale electrophysiology data

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