Figure 5.

Frequency dependence of learning. The decreasing propensity for granule cells to burst at higher frequencies is implemented by changing the learning rule strength η. For each stimulus frequency, we determined the value of η that resulted in an optimal fit between model and experimental results. We plot here η as a percentage of the original values (0.0036 and 0.0018 for large- and small-burst rules respectively) (see Table 1).