Time window
The number of bins is fixed at 100.
For most of the following shortcuts, if you use alt-x instead of just x you will toggle the settings pane for the given feature, e.g. alt-r toggles the settings pane for spatial ratemap, whereas r by itself toggles the actual ratemap plots. (In some cases alt is not needed because toggling the pane is the only action linked to the shortcut.)
Shorcuts for the plots shown for each group; use shift to select multiple:
Shorcuts applied to the "active" group, which is the one under the cursor:
Other shortcuts:
Bin size
Upper limit
Histogram shows slowest speed at the top, and upper limit speed at the bottom.
WARNING: speed plots are still in alpha testing (unlike everything else which is just about in beta!).
There are two palette modes.
Render in
In "flag" mode, each group from 0 to 30 gets its own color, and is rendered solidly in that color.
In "density" mode, the color of each pixel reflects the proportion of the waves which cross it.
Bin size
Smoothing kernel boxcar
Ratemap frequency values are
The true peak rate is shown as "spa max" when you move your cursor over a group.
Ratemap height:
Bin size
Smoothing kernel boxcar
Note that in 2-spot LED mode, the relative position of the two LEDs is used, in 1-spot LED mode, the direction of movement is used (this is sometimes refered to as "displacement direction").
The true peak rate is shown as "dir max" when you move your cursor over a group.
If you tracked with two LEDs you can read in both data streams. "Standard" post-processing will be applied to decide when the two spots have swapped.
Use
The following filtering and smoothing is applied to the one/two data streams separately. If two LEDs are used, a single estimate of position is produced at the end, using a weighted sum.
Speed
Where the speed appears to rise above this threshold the data is considered invalid.
Where data is missing (either because no pixels were tracked for the given sample or the above filter invalidated the data), new values are created by linearly interpolated across the gaps.
Smoothing
Following filtering for speed and interpolation, the X and Y data is smoothed using a boxcar (i.e. moving average) of the above width.