Estimating neuronal firing density: A quantitative analysis of firing rate map algorithms
Fig 5
See Methods: Kernel smoothed density estimate for more detail. Schematics showing the steps involved with creating a kernel smoothed density estimate (KSDE) firing rate map. A set of query points are specified forming a square grid spanning the data. For each query point the distance to every position data sample and spike is calculated, these are then kernel weighted and summed. The value of the firing rate map at that query point is then equal to the spike-distance-sum divided by the position-distance-sum multiplied by the sampling interval of the position data.