Video 1:
Examples of the
ability of the algorithm to track simulated data. We simulated a skewing,
shifting, and increasing spatial intensity function and a temporal intensity
function with an increasing theta (75-150 ms) region. The top shows the spatial intensity function, and
the bottom shows the
temporal intensity function plotted on a log scale. The white dot represents the animal’s position,
and the vertical white lines
represent the locations of spikes (spatial intensity) and the interspike
intervals at which spikes occur (temporal intensity). For both the spatial and
temporal intensity functions, the actual intensity function is shown in green, whereas the estimated spatial intensity
function is shown in yellow
and the estimated temporal intensity function is shown in light blue. The time, in seconds, is shown in the top left corner. The learning rates used for this
simulation were the same as those used for all analyses (spatial 2.0 and
temporal 0.15). The video shows the first pass through the field at a slow rate
and the subsequent passes at a high rate. The small decrements at times at
which no spike was observed and the larger increments that occur at the times
of spikes are visible at in the first pass. The video shows that the algorithm
is able to accurately estimate the evolving structure of both the spatial and
temporal intensity functions.
Microsoft AVI Video
