Merge pull request #135 from NeurodataWithoutBorders/cebra

add page on cebra

docs/source/tools/analysis_tools_home.rst

@@ -27,6 +27,7 @@ Analysis and Visualization Tools
     patchview/patchview
     deeplabcut/deeplabcut
     sleap/sleap
+    cebra/cebra
     pynapple/pynapple
     spyglass/spyglass
     dandi/dandi
@@ -326,6 +327,19 @@ Behavior
 Data Analysis Toolbox
 ----------------------
 
+.. image:: cebra/cebra.png
+    :class: align-left
+    :width: 180
+
+.. include::  cebra/cebra.rst
+        :start-after: .. short_description_start
+        :end-before: .. short_description_end
+
+.. raw:: html
+
+    <br />
+    <br />
+
 .. image:: pynapple/logo2.png
     :class: align-left
     :width: 180

docs/source/tools/cebra/cebra.rst

@@ -0,0 +1,19 @@
+.. _analysistools-cebra:
+
+CEBRA
+-----
+
+.. image:: cebra.png
+    :width: 400
+
+.. short_description_start
+
+:ref:`analysistools-cebra` is a machine-learning method that can be used to compress time series in a way that reveals otherwise hidden structures in the variability of the data. It excels on behavioural and neural data recorded simultaneously, and it can decode activity from the visual cortex of the mouse brain to reconstruct a viewed video.
+:bdg-link-primary:`website  <https://cebra.ai>`
+:bdg-link-primary:`paper <https://www.nature.com/articles/s41586-023-06031-6>`
+:bdg-link-primary:`GitHub repo <https://github.com/AdaptiveMotorControlLab/cebra>`
+:bdg-link-primary:`Docs <https://cebra.ai/docs/>`
+:bdg-link-primary:`NWB tutorial <https://stes.io/NeuroDataReHack2023/>`.
+
+
+.. short_description_end