Merge pull request #126 from NeurodataWithoutBorders/graft

add entry for GraFT

docs/source/tools/analysis_tools_home.rst

@@ -23,6 +23,7 @@ Analysis and Visualization Tools
     extract/extract
     cicada/cicada
     optinist/optinist
+    graft/graft
     patchview/patchview
     deeplabcut/deeplabcut
     sleap/sleap
@@ -262,6 +263,10 @@ Optical Physiology Tools
     <hr>
     <br />
 
+.. include::  graft/graft.rst
+        :start-after: .. short_description_start
+        :end-before: .. short_description_end
+
 .. _analysistools-icephys:
 
 Intracellular Electrical Physiology Tools

docs/source/tools/dandi/dandi.rst

@@ -1,7 +1,7 @@
 .. _analysistools-dandi:
 
 DANDI
-------
+-----
 
 .. short_description_start
 

docs/source/tools/graft/graft.rst

@@ -0,0 +1,13 @@
+.. _analysistools-graft:
+
+GraFT
+-----
+
+.. short_description_start
+
+:ref:`analysistools-graft` (Graph-Filtered Temporal) is a signal extraction method for spatio-temporal data. GraFT uses a diffusion map to learn a graph over spatial pixels that enables for stochastic filtering of learned sparse representations over each pixel's time-trace. The sparse representations are modeled as in a hierarchical dictionary learning framework with correlated decompositions over the graph.
+:bdg-link-primary:`GitHub repo  <https://github.com/adamshch/GraFT-analysis>`
+:bdg-link-primary:`NWB tutorials  <https://github.com/adamshch/GraFT-analysis/tree/main/code/nwb_tutorials>`
+:bdg-link-primary:`Cite  <https://pubmed.ncbi.nlm.nih.gov/35533160/>`
+
+.. short_description_end