Summary of the results of the integrate-and-fire network simulations.

<p>We consider the four possible learning rules illustrated in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002393#pcbi-1002393-g004" target="_blank"><b>Figure 4</b></a>. Here we show the proportion of all the computational simulations in a parameter search (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002393#s4" target="_blank"><b>Methods</b></a>, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002393#pcbi-1002393-t001" target="_blank"><b>Table 1</b></a>) using integrate-and-fire units that converged (green), that reached extreme weights (red) or that did not converge (light blue). For comparison with <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002393#pcbi-1002393-g006" target="_blank"><b>Figure 6</b></a>, we included a category for simulations in which weights failed to achieve sufficient diversity (dark blue), although none of the current simulations fell into that category. The quantitative criteria for classifying the stimulations into these four categories as well as the network and parameters spanned are described in the text. The total number of simulations for each learning rule were 2298, 2304, 1148, and 1152. The only convergent simulations were seen for depression-biased rSTDP.