Add merged notebooks

Author: mvdoc

tutorials/notebooks/shortclips/merged_for_colab.ipynb

@@ -5,7 +5,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "# 00_setup_colab.ipynb\n"
+    "# 01_setup_colab.ipynb\n"
    ]
   },
   {
@@ -16,8 +16,12 @@
     "# Setup Google Colab\n",
     "\n",
     "In this script, we setup a Google Colab environment. This script will only work\n",
-    "when run from [Google Colab](https://colab.research.google.com/)). You can\n",
-    "skip it if you run the tutorials on your machine.\n"
+    "when run from [Google Colab](https://colab.research.google.com/). You can\n",
+    "skip it if you run the tutorials on your machine.\n",
+    "\n",
+    "> **Note:** This script will install all the required dependencies and download the data.\n",
+    "> It will take around 10 minutes to run, but you need to run it only once in your Colab session.\n",
+    "> If your Colab session is disconnected, you will need to run this script again."
    ]
   },
   {
@@ -30,15 +34,15 @@
     "In Google Colab you can request access to a GPU by changing the runtime type.\n",
     "To do so, click the following menu options in Google Colab:\n",
     "\n",
-    "(Menu) \"Runtime\" -> \"Change runtime type\" -> \"Hardware accelerator\" -> \"GPU\".\n",
+    "> (Menu) \"Runtime\" -> \"Change runtime type\" -> \"Hardware accelerator\" -> \"GPU\".\n",
     "\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Download the data and install all required dependencies\n",
+    "## Install all required dependencies and download the data\n",
     "\n",
     "Uncomment and run the following cell to download the required packages.\n",
     "\n"
@@ -187,7 +191,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "# 01_plot_explainable_variance.ipynb\n"
+    "# 03_compute_explainable_variance.ipynb\n"
    ]
   },
   {
@@ -652,7 +656,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "# 02_plot_ridge_regression.ipynb\n"
+    "# 04_understand_ridge_regression.ipynb\n"
    ]
   },
   {
@@ -670,7 +674,7 @@
     "Linear regression is a method to model the relation between some input\n",
     "variables $X \\in \\mathbb{R}^{(n \\times p)}$ (the features) and an output\n",
     "variable $y \\in \\mathbb{R}^{n}$ (the target). Specifically, linear\n",
-    "regression uses a vector of coefficient $w \\in \\mathbb{R}^{p}$` to\n",
+    "regression uses a vector of coefficient $w \\in \\mathbb{R}^{p}$ to\n",
     "predict the output\n",
     "\n",
     "\\begin{align}\\hat{y} = Xw\\end{align}\n",
@@ -685,15 +689,6 @@
     "least squares* (OLS).\n"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1267,7 +1262,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "# 03_plot_wordnet_model.ipynb\n"
+    "# 05_fit_wordnet_model.ipynb\n"
    ]
   },
   {
@@ -2268,7 +2263,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "# 04_plot_hemodynamic_response.ipynb\n"
+    "# 06_visualize_hemodynamic_response.ipynb\n"
    ]
   },
   {
@@ -2855,7 +2850,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "# 05_plot_motion_energy_model.ipynb\n"
+    "# 08_fit_motion_energy_model.ipynb\n"
    ]
   },
   {
@@ -3368,7 +3363,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "# 06_plot_banded_ridge_model.ipynb\n"
+    "# 09_fit_banded_ridge_model.ipynb\n"
    ]
   },
   {

tutorials/notebooks/shortclips/merged_for_colab_model_fitting.ipynb

@@ -5,7 +5,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "# 00_setup_colab.ipynb\n"
+    "# 01_setup_colab.ipynb\n"
    ]
   },
   {
@@ -16,8 +16,12 @@
     "# Setup Google Colab\n",
     "\n",
     "In this script, we setup a Google Colab environment. This script will only work\n",
-    "when run from [Google Colab](https://colab.research.google.com/)). You can\n",
-    "skip it if you run the tutorials on your machine.\n"
+    "when run from [Google Colab](https://colab.research.google.com/). You can\n",
+    "skip it if you run the tutorials on your machine.\n",
+    "\n",
+    "> **Note:** This script will install all the required dependencies and download the data.\n",
+    "> It will take around 10 minutes to run, but you need to run it only once in your Colab session.\n",
+    "> If your Colab session is disconnected, you will need to run this script again."
    ]
   },
   {
@@ -30,15 +34,15 @@
     "In Google Colab you can request access to a GPU by changing the runtime type.\n",
     "To do so, click the following menu options in Google Colab:\n",
     "\n",
-    "(Menu) \"Runtime\" -> \"Change runtime type\" -> \"Hardware accelerator\" -> \"GPU\".\n",
+    "> (Menu) \"Runtime\" -> \"Change runtime type\" -> \"Hardware accelerator\" -> \"GPU\".\n",
     "\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Download the data and install all required dependencies\n",
+    "## Install all required dependencies and download the data\n",
     "\n",
     "Uncomment and run the following cell to download the required packages.\n",
     "\n"
@@ -187,7 +191,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "# 01_plot_explainable_variance.ipynb\n"
+    "# 03_compute_explainable_variance.ipynb\n"
    ]
   },
   {
@@ -652,7 +656,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "# 03_plot_wordnet_model.ipynb\n"
+    "# 05_fit_wordnet_model.ipynb\n"
    ]
   },
   {
@@ -1653,7 +1657,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "# 05_plot_motion_energy_model.ipynb\n"
+    "# 08_fit_motion_energy_model.ipynb\n"
    ]
   },
   {
@@ -2166,7 +2170,7 @@
    "metadata": {},
    "source": [
     "\n",
-    "# 06_plot_banded_ridge_model.ipynb\n"
+    "# 09_fit_banded_ridge_model.ipynb\n"
    ]
   },
   {