fixed some tutorial texts

.github/workflows/documentation.yml

@@ -1,8 +1,8 @@
 name: documentation
 
 on: [push, pull_request, workflow_dispatch]
-   branches:
-      - main 
+  branches: 
+    - main 
 
 permissions:
   contents: write

doc/source/examples/irasa_sprint.ipynb

@@ -6,8 +6,8 @@
    "source": [
     "# Run IRASA timeresolved\n",
     "\n",
-    "One of the original features of IRASA was its applicability in the time-frequency domain (Wen & Liu 2016).\n",
-    "The authors used this to investigate changes periodic and aperiodic activity over time and even computed broadband correlations of aperiodic activity over channels across time (see  [Wen & Liu, 2016](https://doi.org/10.1523/JNEUROSCI.0187-16.2016)). To make this form of analysis more accessible and track aperiodic and periodic changes over time we implemented the irasa_sprint function, that similarly to the SPRiNT package ([Wilson, da Silva Castanheira & Baillet, 2022](https://doi.org/10.7554/eLife.77348)), enables you to compute periodic and aperiodic spectrograms."
+    "In the original IRASA manuscript Wen & Liu ([2016](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4706469/)) show that the algorithm can be used in the time-frequency domain.\n",
+    "The authors used this in a subsequent manuscript to investigate changes periodic and aperiodic activity over time and even computed broadband correlations of aperiodic activity over channels across time (see [Wen & Liu, 2016](https://doi.org/10.1523/JNEUROSCI.0187-16.2016)). To make this form of analysis more accessible and track aperiodic and periodic changes over time we implemented the irasa_sprint function, that similarly to the SPRiNT package ([Wilson, da Silva Castanheira & Baillet, 2022](https://doi.org/10.7554/eLife.77348)), enables you to compute periodic and aperiodic spectrograms."
    ]
   },
   {
@@ -320,20 +320,6 @@
     "f.tight_layout()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,