Manipulating spike count variance

Using a leaky integrate and fire neuron to generate spiking from fluctuating stimuli, but I wanted to generate data with different spike count variance. The problem came when two sources of variance worked to change other aspects of spike counts I didn't want. Increasing trial-by-trial noise promoted noise-driven activity, i.e., the rate went up, but the variance didn't increase that much. Increasing stimulus noise (which in truth shouldn't really be called noise, since it is these fluctuations that drive spiking), rapidly increased the firing rate and actually decreased spike variance.

These two forces needed to be balanced then. For future reference, muck about by decreasing stimulus noise, and increasing trial-by-trial noise.