Added Cameron's Slideshare presentations.

Author: jpellman

docs/user/_sources/index.txt

@@ -29,7 +29,11 @@ C-PAC maintains key Nipype strengths, including the ability to:
 
 Future updates will include more configurability, advanced analytic features (e.g., support vector machines, cluster analysis) and diffusion tensor imaging (DTI) capabilities.
 
-For more information and additional tutorials, check out our `Youtube channel <https://www.youtube.com/channel/UCMhbaa3bF7oQgnAWX6HmyMQ>`_.
+For more information and additional tutorials, check out our `YouTube channel <https://www.youtube.com/channel/UCMhbaa3bF7oQgnAWX6HmyMQ>`_, as well as slides from our previous presentations:
+
+* `CPAC Connectome Analysis in the Cloud <http://www.slideshare.net/CameronCraddock/cpac-connectome-analysis-in-the-cloud>`_
+* `Open science resources for 'Big Data' Analyses of the human connectome <http://www.slideshare.net/CameronCraddock/open-science-resources-for-big-data-analyses-of-the-human-connectome>`_
+* `Computational approaches for mapping the human connectome <http://www.slideshare.net/CameronCraddock/computational-approaches-for-mapping-the-human-connectome>`_
 
 The C-PAC Team
 ^^^^^^^^^^^^^^

docs/user/_sources/running.txt

@@ -39,9 +39,6 @@ The following schematic illustrates the order in which C-PAC executes.
 
 .. figure:: /_images/processing_workflow.png
 
-
-To modify an existing pipeline, select it and click *Edit*. 
-
 Running Group-Level Analysis
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 When you are ready to run group-level analysis, select the subject lists and pipelines you would like to run and click the Run Group Level Analysis button. You will be presented with a dialog and asked to select which strategies you would like to include.