Storage capacities for a finite Willshaw network having the size of a cortical macrocolumn ().

<p><b>A,</b> Contour plot of pattern capacity (number of stored memories) as a function of assembly size (number of active units in a memory vector) and effectual network connectivity assuming output noise level and noise-free input patterns (, ). <b>B,</b> Weight capacity for the same setting as in panel <b>A</b>. <b>C,</b> Total storage capacity including structural plasticity for the same setting as in <b>A</b>. Note that even modest increases of can strongly increase storage capacity, in particular for sparse neural activity (small ) <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0096485#pone.0096485-Waydo1" target="_blank">[82]</a>. All data computed from Gaussian approximation of dendritic potential distributions (see appendix II. 2).