added tutorials

doc/source/tutorials.rst

@@ -15,23 +15,23 @@ Introductory
 This notebook gets you familiar with the IRASA algorithm and shows you the basic functionality
 of PyRASA.
 
-  :doc:`View the notebook <../examples/basic_functionality>` or run interactively:
+  :doc:`Getting Started <../examples/basic_functionality>`
 
 ******************************
 2. Improving your IRASA models
 ******************************
 
 This notebook shows you how to improve your IRASA model fits.
 
-  :doc:`View the notebook <../examples/improving_irasa_models>` or run interactively:
+  :doc:`Improve your IRASA <../examples/improving_irasa_models>`
 
 ****************************
 3. Pitfalls when using IRASA
 ****************************
 
 This notebook outlines common pitfalls when fitting IRASA models.
 
-  :doc:`View the notebook <../../examples/irasa_pitfalls>` or run interactively:
+  :doc:`Pitfalls <../../examples/irasa_pitfalls>`
 
 
 *********************
@@ -41,7 +41,7 @@ This notebook outlines common pitfalls when fitting IRASA models.
 IRASA comes only with a single hyperparameter - the set of up-/downsampling factors.
 Here we introduce a method to optimize this hset to get the most out of your model.
 
-  :doc:`View the notebook <../../examples/hset_optimization>` or run interactively:
+  :doc:`Optimization <../../examples/hset_optimization>`
 
 ************
 4. IRASA MNE
@@ -50,7 +50,7 @@ Here we introduce a method to optimize this hset to get the most out of your mod
 Are you analysing M/EEG data using MNE Python? You might be happy to hear that you can directly
 apply IRASA to your raw or epoched data objects. Open the notebook to see how its done.
 
-  :doc:`View the notebook <../../examples/irasa_mne>` or run interactively:
+  :doc:`IRASA in MNE <../../examples/irasa_mne>`
 
 
 ***********************
@@ -60,7 +60,7 @@ apply IRASA to your raw or epoched data objects. Open the notebook to see how it
 Did you know that IRASA can be used in the timefrequency domain for a time resolved spectral parametrization?
 Open this notebook to see how its done.  
 
-  :doc:`View the notebook <../../examples/irasa_sprint>` or run interactively:
+  :doc:`Time-Frequency IRASA <../../examples/irasa_sprint>`
 
 
 
@@ -74,5 +74,4 @@ Advanced
 PyRASA allows you to define your own functions to model aperiodic activity.
 This notebook shows you how its done.
 
-  :doc:`View the notebook <../../examples/custom_fit_functions>` or run interactively:
-
+  :doc:`Custom Aperiodic models <../../examples/custom_fit_functions>`