Multiple Synaptic Parameter Permutations Support Optimal Balanced Function. A) Optimal balanced networks were found by searching for parameter combinations that produced the lowest maximal error (the higher error in either pattern separation or pattern completion) during the storage of 30 patterns. The 100 best combinations of the parameters defining LTP, LTD, and inhibition, are shown with connectivity constrained to 50%. The maximal error rate is shown in grayscale. The ability of parameter combinations spanning a broad range or parameter space to achieve similar performance is evident. B) The balances of pattern completion errors (increasing from 0 at the center to the left) and pattern separation errors (increasing from 0 at the center to the right) are shown for the 100 best parameter combinations and for their average. Different shades of red and blue are overlaid to show the error rates for different numbers of stored patterns for pattern completion, and pattern separation, respectively.