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Add syncopy to tools page
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docs/source/tools/analysis_tools_home.rst

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ecogvis/ecogvis
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neo/neo
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eeglab/eeglab
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syncopy/syncopy
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caiman/caiman
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suite2p/suite2p
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ciatah/ciatah
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:end-before: .. short_description_end
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.. raw:: html
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<br />
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<br />
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.. image:: syncopy/syncopy_logo.png
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:class: align-left
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:width: 180
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.. include:: syncopy/syncopy.rst
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:start-after: .. short_description_start
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:end-before: .. short_description_end
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.. raw:: html
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.. _analysistools-syncopy:
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SyNCoPy
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-------
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.. short_description_start
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:ref:`analysistools-syncopy` is a Python library providing high level functions for electrophysiological time series
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and spike data analysis. It allows to conveniently perform complex analysis workflows including data preprocessing,
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time-frequency and connectivity analysis. SyNCoPy is specifically tailored for very large ("bigger than memory") datasets,
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leveraging parallelized computation on many different platforms. It is designed after the well established FieldTrip
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MatLab package and supports MNE Python, NWB and FieldTrip data formats.
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.. image:: https://img.shields.io/github/stars/esi-neuroscience/syncopy?style=social
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:alt: GitHub Repo stars for SyNCoPy
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:target: https://github.com/esi-neuroscience/syncopy
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.. short_description_end
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SyNCoPy (Systems Neuroscience Computing in Python, spelled Syncopy in the following) is a Python toolkit for user-friendly, large-scale electrophysiology data analysis. It strives to achieve the following goals:
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Syncopy provides a full open source Python environment for reproducible electrophysiology data analysis.
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Syncopy is scalable to accommodate very large datasets. It automatically makes use of available computing resources and is developed with built-in parallelism in mind.
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Syncopy is compatible with the MATLAB toolbox `FieldTrip <https://www.fieldtriptoolbox.org/>`_.
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Syncopy supports reading data from NWB and exporting data to NWB. See `Syncopy Data Basics <https://syncopy.readthedocs.io/en/latest/user/data_basics.html>`_ for more information.
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.. image:: syncopy_logo.png
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:class: align-left
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:width: 400
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