Each Synaptic Pathology Alters the Trade-Off between Completion and Separation. The average performance of the 100 best parameter combinations illustrated in Figure 5, were used to represent optimal autoassociative performance. To simulate pathological changes in each synaptic property, parameter values were increased or decreased by various degrees in each of the 100 optimal networks, and the error rates in pattern completion and separation were re-assessed. A) Changes in the strength of LTP were implemented by increases or decreases in gmaxAMPA, relative to optimal values (opt, y axis). B) Changes in the strength of LTD were implemented by multiplying optimal γLTD values by different amounts. C) Connectivity levels were increased or decreased relative to the optimal level (50%). D) Changes in relative inhibition were implemented by multiplying optimal values by different amounts. Each simulated pathology shifted the trade-off between completion and separation, with opposite effects when the synaptic properties were increased or decreased.