diff --git a/examples/elements/matplotlib/RGB.ipynb b/examples/elements/matplotlib/RGB.ipynb
index 1c784e0130..cecfc5aadc 100644
--- a/examples/elements/matplotlib/RGB.ipynb
+++ b/examples/elements/matplotlib/RGB.ipynb
@@ -23,7 +23,7 @@
    "source": [
     "import numpy as np\n",
     "import holoviews as hv\n",
-    "hv.notebook_extension('bokeh')"
+    "hv.notebook_extension()"
    ]
   },
   {
@@ -114,9 +114,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:science]",
+   "display_name": "Python 2",
    "language": "python",
-   "name": "conda-env-science-py"
+   "name": "python2"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/elements/matplotlib/Raster.ipynb b/examples/elements/matplotlib/Raster.ipynb
index 446f83fa30..c8d5f9e6df 100644
--- a/examples/elements/matplotlib/Raster.ipynb
+++ b/examples/elements/matplotlib/Raster.ipynb
@@ -23,7 +23,7 @@
    "source": [
     "import numpy as np\n",
     "import holoviews as hv\n",
-    "hv.notebook_extension('bokeh')"
+    "hv.notebook_extension()"
    ]
   },
   {
diff --git a/examples/elements/matplotlib/Scatter.ipynb b/examples/elements/matplotlib/Scatter.ipynb
index cd7856e3e6..6f826be9f6 100644
--- a/examples/elements/matplotlib/Scatter.ipynb
+++ b/examples/elements/matplotlib/Scatter.ipynb
@@ -23,7 +23,7 @@
    "source": [
     "import numpy as np\n",
     "import holoviews as hv\n",
-    "hv.notebook_extension('bokeh')"
+    "hv.notebook_extension()"
    ]
   },
   {
@@ -115,9 +115,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:science]",
+   "display_name": "Python 2",
    "language": "python",
-   "name": "conda-env-science-py"
+   "name": "python2"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/elements/matplotlib/Spikes.ipynb b/examples/elements/matplotlib/Spikes.ipynb
index 9148325687..d2c33c66ae 100644
--- a/examples/elements/matplotlib/Spikes.ipynb
+++ b/examples/elements/matplotlib/Spikes.ipynb
@@ -23,7 +23,7 @@
    "source": [
     "import numpy as np\n",
     "import holoviews as hv\n",
-    "hv.notebook_extension('bokeh')"
+    "hv.notebook_extension()"
    ]
   },
   {
@@ -43,7 +43,7 @@
    },
    "outputs": [],
    "source": [
-    "%%opts Spikes (line_alpha=0.4) [spike_length=0.1]\n",
+    "%%opts Spikes (alpha=0.4) [spike_length=0.1]\n",
     "xs = np.random.rand(50)\n",
     "hv.Spikes(xs)"
    ]
@@ -122,7 +122,7 @@
    },
    "outputs": [],
    "source": [
-    "%%opts Spikes (line_alpha=0.2)\n",
+    "%%opts Spikes (alpha=0.2)\n",
     "points = hv.Points(np.random.randn(500, 2))\n",
     "points << hv.Spikes(points['y']) << hv.Spikes(points['x'])"
    ]
@@ -130,9 +130,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:science]",
+   "display_name": "Python 2",
    "language": "python",
-   "name": "conda-env-science-py"
+   "name": "python2"
   },
   "language_info": {
    "codemirror_mode": {
diff --git a/examples/elements/matplotlib/Spline.ipynb b/examples/elements/matplotlib/Spline.ipynb
index 6edcffb70c..0f0c9573bb 100644
--- a/examples/elements/matplotlib/Spline.ipynb
+++ b/examples/elements/matplotlib/Spline.ipynb
@@ -23,7 +23,7 @@
    "source": [
     "import numpy as np\n",
     "import holoviews as hv\n",
-    "hv.notebook_extension('bokeh')"
+    "hv.notebook_extension()"
    ]
   },
   {
@@ -41,16 +41,16 @@
    },
    "outputs": [],
    "source": [
-    "%%opts Curve (color='#D3D3D3') Spline (line_width=6 color='green')\n",
+    "%%opts Curve (color='#D3D3D3') Spline (linewidth=6 edgecolor='green')\n",
     "points = [(-0.3, -0.3), (0,0), (0.25, -0.25), (0.3, 0.3)]\n",
-    "hv.Spline((points,[])) * hv.Curve(points)"
+    "hv.Spline((points, [1,4,4,4])) * hv.Curve(points)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Note that the Bokeh ``Spline`` does not support the same control codes as the [matplotlib version](../matplotlib/Spline.ipynb) which is why the codes are supplied above as an empty list."
+    "The first argument to ``Splines`` are the control point positions and the integers in the second list are the control codes, as documented in the [matplotlib splines documentation](http://matplotlib.org/api/path_api.html)."
    ]
   }
  ],