Estimating neuronal firing density: A quantitative analysis of firing rate map algorithms
Fig 9
The relationships between error, computation time and mapping parameters.
A-F) For each mapping method, the Pareto-front of optimal parameter combinations for all tested recording durations. Circled is the parameter combination selected as the most balanced. In addition to computation time and overall map error (MISE), which are plotted here, Pareto-optimization also sought to minimize the proportion of empty bins and place field detection errors. Insets show the relationship between average field radius, recording duration and balanced bin size (top) or smoothing (bottom) parameters, determined using multivariate regression. The exact regression fits can be seen in Table 1 in addition to the fits for the parameters associated with the minimum error.