Welcome to SpikeInterface's documentation! ========================================== .. image:: images/logo.png :scale: 100 % :align: center SpikeInterface is a Python module to analyze extracellular electrophysiology data. With a few lines of code, SpikeInterface enables you to load and pre-process the recording, run several state-of-the-art spike sorters, post-process and curate the output, compute quality metrics, and visualize the results. .. warning:: Version 0.101.0 introduces a major API improvement: the :code:`SortingAnalyzer`. To read more about the motivations, checkout the `enhancement proposal `_. Learn how to :ref:`update your code here ` and read more about the :code:`SortingAnalyzer`, please refer to the :ref:`core ` and :ref:`postprocessing ` module documentation. Overview of SpikeInterface modules ---------------------------------- .. image:: images/overview.png :align: center SpikeInterface is made of several modules to deal with different aspects of the analysis pipeline: - read/write many extracellular file formats. - pre-process extracellular recordings. - run many popular, semi-automatic spike sorters (also in Docker/Singularity containers). - post-process spike sorted data. - compare and benchmark spike sorting outputs. - compute quality metrics to validate and curate spike sorting outputs. - visualize recordings and spike sorting outputs. - export a report and/or export to Phy. - offer a powerful Qt-based viewer in a separate package `spikeinterface-gui `_ - have some powerful sorting components to build your own sorter. - have a full motion/drift correction framework (See :ref:`motion_correction`) .. toctree:: :maxdepth: 1 :caption: Contents: overview get_started/index tutorials/index how_to/index modules/index api development/development whatisnew authors references Other resources --------------- To get started with SpikeInterface, you can take a look at the following additional resources: - | `spiketutorials `_ is a collection of basic and advanced | tutorials. It includes links to videos to dive into the SpikeInterface framework. - | `SpikeInterface Reports `_ contains several notebooks to reproduce analysis | figures of SpikeInterface-based papers and to showcase the latest features of SpikeInterface. - | The `2020 eLife paper `_ introduces the concept and motivation and | performs an in-depth comparison of multiple sorters (spoiler alert: they strongly disagree with each other!). | **Note**: the code-base and implementation have changed a lot since the "paper" version published in 2020. | For detailed documentation we therefore suggest more recent resources, like this documentation and :code:`spiketutorials`. .. Indices and tables .. ================== .. .. * :ref:`genindex` .. * :ref:`modindex` .. * :ref:`search`