“…It was also shown that this enhancement of the retrieval properties is not restricted to the use of the Hebbian learning rule but that it is inherent to the model. Indeed, by studying the Gardner optimal capacity [5] in replica symmetric (RS) mean-field theory it was found recently [6] that for the corresponding BEG perceptron with, e.g., zero embedding stability parameter and uniform patterns this capacity is 2.24. Comparing with other three-state neuron perceptron models, we recall that for the Q = 3 Ising perceptron the Gardner optimal capacity can maximally reach 1.5 [7,8], whereas for the Q = 3 clock and Potts model both reach an optimal capacity of 2.40 [9,10].…”