Move SI-based sorters at the end o docs.
@@ -23,6 +23,10 @@ Installation instructions are given for an **Unbuntu** platform. Please check th
sorters to retrieve installation instructions for other operating systems.
We use **pip** to install packages, but **conda** should also work in many cases.
+Some novel spike sorting algorithms are implemented directly in SpikeInterface using the
+:py:mod:`spikeinterface.sortingcomponents` module. Checkout the **SpikeInterface-based spike sorters** of this page
+for more information!
+
If you experience installation problems please directly contact the authors of theses tools or write on the
related mailing list, google group, etc.
@@ -190,27 +194,6 @@ SpykingCircus
pip install mpi4py
pip install spyking-circus --no-binary=mpi4py
-SI based spike sorters
-----------------------
-
-Thanks to the sortingcomponents, some spike sorting algorithms can now be fully implemented
-with spikeinterface.
-
-SpykingCircus2
-~~~~~~~~~~~~~~
-
-This is a upgraded version of spykingcircus, natively written in spikeinterface. The main differences
-are located in the clustering (now using on-the-fly features and less prone to find noise clusters),
-and in the template matching procedure, which is now a full orthogonal matching pursuit, working not
-only at peak times but at all times, recovering more spikes close to noise thresholds.
-
-* Python, requires HDBSCAN
-* Authors: Pierre Yger
-* Installation::
-
- pip install hdbscan
- pip install spikeinterface
-
Tridesclous
-----------
@@ -266,3 +249,25 @@ Yass
* Installation::
https://github.com/paninski-lab/yass/wiki/Installation-Local
+
+
+SpikeInterface-based spike sorters
+==================================
+
+Thanks to the :py:mod:`spikeinterface.sortingcomponents` module, some spike sorting algorithms can now be fully implemented
+with SpikeInterface.
+
+SpykingCircus2
+--------------
+
+This is a upgraded version of SpykingCircus, natively written in SpikeInterface.
+The main differences are located in the clustering (now using on-the-fly features and less prone to find
+noise clusters), and in the template-matching procedure, which is now a full orthogonal matching pursuit,
+working not only at peak times but at all times, recovering more spikes close to noise thresholds.
+
+* Python, requires HDBSCAN
+* Authors: Pierre Yger
+* Installation::
+
+ pip install hdbscan
+ pip install spikeinterface
\ No newline at end of file
