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References
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We highly encourage users to explore and integrate other external libraries in their project.
This documentation also contains series of tutorials and guidelines of how to use other libraries with `MiV-OS` tools.
If you are having trouble in integrating tools or data structure from other packages, feel free to make a suggestion on our `GitHub-issue <https://github.com/GazzolaLab/MiV-OS/issues>`_.

Below are the list of external libraries that provides wide support for advanced spike processing.
Some of the packages are essential dependencies for our project as well.

`Neural Ensemble <https://neuralensemble.org/>`_
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- Python-Neo [1]_
- Elephant/Viziphant [2]_

Algorithm
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- PyWavelets [3]_

Hardware
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- `Open Ephys <https://open-ephys.org/>`_

.. [1] Garcia S., Guarino D., Jaillet F., Jennings T.R., Pröpper R., Rautenberg P.L., Rodgers C., Sobolev A.,Wachtler T., Yger P. and Davison A.P. (2014) Neo: an object model for handling electrophysiology data in multiple formats. Frontiers in Neuroinformatics 8:10: doi:10.3389/fninf.2014.00010

.. [2] Denker M, Yegenoglu A, Grün S (2018) Collaborative HPC-enabled workflows on the HBP Collaboratory using the Elephant framework. Neuroinformatics 2018, P19. doi:10.12751/incf.ni2018.0019

.. [3] Gregory R. Lee, Ralf Gommers, Filip Wasilewski, Kai Wohlfahrt, Aaron O’Leary (2019). PyWavelets: A Python package for wavelet analysis. Journal of Open Source Software, 4(36), 1237, https://doi.org/10.21105/joss.01237.