Estimating neuronal firing density: A quantitative analysis of firing rate map algorithms
Fig 2
Schematic showing the histogram method.
See Methods: Histogram for more detail. Schematics showing the steps involved with creating a histogram firing rate map. Position and spike data are binned separately into unsmoothed maps. Position counts are multiplied by the sampling interval of the position data to obtain the dwell map. For this example, 50 mm2 bins are used. These maps are then, optionally, smoothed with a Gaussian kernel, in this case a 5×5 bin kernel with the standard deviation set to 50 mm, to produce a smoothed dwell and spike map respectively. The spike map is then divided by the dwell map to obtain a map of average firing rate.