Figure 7.

Effect of GC dendritic pruning (top panel) and growth (bottom panel) on pattern separation when matching the input resistance ( ${\mathit{R}}_{\mathbf{i}\mathbf{n}}$ ) via increasing the somatic size. The neuronal soma of the 3‐ and 6‐dendrite models was increased by a factor of 1.527 and 1.278, respectively. A. Corresponding probability density functions in response to a single input pattern at 40 Hz. While distributions move closer, the mean activity remains inversely analogous to the number of dendrites. The respective mean firing rates of GCs are shown in Table 6. B. Input/output population distances ( $f_1$), for the 3‐dendrite (blue), 6‐dendrite (red), and 12‐dendrite (green) GC models in response to the presentation of two overlapping input patterns at 40 Hz as depicted in Figure 1B. The dashed line denotes the limit above which the model performs pattern separation. Performance becomes similar yet statistically different among the three corrected models and remains analogous to the number of dendrites. C. Same as in A. for the growth experiment. The inverse relationship between dendritic number and mean sparsity is preserved. D. Same as in B. for the growth experiment. Pattern separation efficiency remains different and analogs to the number of dendrites. Supporting Information Figure S6 depicts the corresponding pattern separation efficiency based on ‘rate distance’. [Color figure can be viewed at wileyonlinelibrary.com]