diff --git a/navis/plotting/dd.py b/navis/plotting/dd.py
index 97fce542..460130db 100644
--- a/navis/plotting/dd.py
+++ b/navis/plotting/dd.py
@@ -70,29 +70,30 @@ def plot2d(x: Union[core.NeuronObject,
     Parameters
     ----------
     x :                 TreeNeuron | MeshNeuron | NeuronList | Volume | Dotprops | np.ndarray
-                        Objects to plot::
+                        Objects to plot:
 
-                          - multiple objects can be passed as list (see examples)
-                          - numpy array of shape (n,3) is intepreted as points for scatter plots
+                        - multiple objects can be passed as list (see examples)
+                        - numpy array of shape (n,3) is intepreted as points for
+                          scatter plots
     method :            '2d' | '3d' (default) | '3d_complex'
                         Method used to generate plot. Comes in three flavours:
-                          1. '2d' uses normal matplotlib. Neurons are plotted on
-                             top of one another in the order their are passed to
-                             the function. Use the ``view`` parameter (below) to
-                             set the view (default = xy).
-                          2. '3d' uses matplotlib's 3D axis. Here, matplotlib
-                             decide the depth order (zorder) of plotting. Can
-                             change perspective either interacively or by code
-                             (see examples).
-                          3. '3d_complex' same as 3d but each neuron segment is
-                             added individually. This allows for more complex
-                             zorders to be rendered correctly. Slows down
-                             rendering though.
 
+                        1. '2d' uses normal matplotlib. Neurons are plotted on
+                           top of one another in the order their are passed to
+                           the function. Use the ``view`` parameter (below) to
+                           set the view (default = xy).
+                        2. '3d' uses matplotlib's 3D axis. Here, matplotlib
+                           decide the depth order (zorder) of plotting. Can
+                           change perspective either interacively or by code
+                           (see examples).
+                        3. '3d_complex' same as 3d but each neuron segment is
+                           added individually. This allows for more complex
+                           zorders to be rendered correctly. Slows down
+                           rendering though.
     soma :              bool, default=True
                         Plot soma if one exists. Size of the soma is determined
                         by the neuron's ``.soma_radius`` property which defaults
-                        to the "radius" column for ``TreeNeurons``. 
+                        to the "radius" column for ``TreeNeurons``.
     connectors :        bool, default=True
                         Plot connectors.
     connectors_only :   boolean, default=False
diff --git a/navis/plotting/ddd.py b/navis/plotting/ddd.py
index b858b3ee..5d081b0c 100644
--- a/navis/plotting/ddd.py
+++ b/navis/plotting/ddd.py
@@ -58,7 +58,7 @@ def plot3d(x: Union[core.NeuronObject,
       terminal: vispy used
       Jupyter: plotly used
 
-    See ``backend`` parameter on how to change default behavior.
+    See ``backend`` parameter on how to overwrite this default behavior.
 
     Parameters
     ----------
@@ -82,10 +82,14 @@ def plot3d(x: Union[core.NeuronObject,
                       Use ``dict`` to map colors to neurons:
                       ``{uuid: (r, g, b), ...}``.
     cn_colors :       str | tuple | dict | "neuron"
-                      Overrides the default colors::
-                        - single color as str (e.g. ``'red'``) or rgb tuple (e.g. ``(1, 0, 0)``)
-                        - dict mapping the connectors tables ``type`` column to a color (e.g. `{0: (1, 0, 0)}`)
-                        - with "neuron", connectors will receive the same color as their neuron
+                      Overrides the default colors:
+
+                      - single color as str (e.g. ``'red'``) or rgb tuple (e.g.
+                        ``(1, 0, 0)``)
+                      - dict mapping the connectors tables ``type`` column to a
+                        color (e.g. `{0: (1, 0, 0)}`)
+                      - with "neuron", connectors will receive the same color as
+                        their neuron
     palette :         str | array | list of arrays, default=None
                       Name of a matplotlib or seaborn palette. If ``color`` is
                       not specified will pick colors from this palette.
@@ -108,17 +112,17 @@ def plot3d(x: Union[core.NeuronObject,
     width/height :    int, default=600
                       Use to define figure/window size.
     scatter_kws :     dict, optional
-                      Use to modify scatter plots. Accepted parameters are
-                        - ``size`` to adjust size of dots
-                        - ``color`` to adjust color
-    soma :            bool, default=True
-                      Whether to plot soma if it exists (TreeNeurons only).
-                      Size of the soma is determined  by the neuron's
-                      ``.soma_radius`` property which defaults to the "radius"
-                      column for ``TreeNeurons``.
+                      Use to modify scatter plots. Accepted parameters are:
 
-    Plotly only
+                      - ``size`` to adjust size of dots
+                      - ``color`` to adjust color
+    soma :            bool, default=True
+                      Whether to plot soma if it exists (TreeNeurons only). Size
+                      of the soma is determined by the neuron's ``.soma_radius``
+                      property which defaults to the "radius" column for
+                      ``TreeNeurons``.
 
+                      ``Below parameters are for plotly backend only:``
     fig :             plotly.graph_objs.Figure
                       Pass to add graph objects to existing plotly figure. Will
                       not change layout.
@@ -138,8 +142,7 @@ def plot3d(x: Union[core.NeuronObject,
     hover_id :        bool, default=False
                       If True, hovering over skeleton nodes will show their ID.
 
-    Vispy only
-
+                      ``Below parameters are for vispy backend only:``
     clear :           bool, default = False
                       If True, will clear the viewer before adding the new
                       objects.