Optimized information capacity for the MP model in the limit .

<p>a. Optimal information capacity as a function of , the average number of activated synapses after learning. Optimal capacity is reached in the limit and at where the capacity is the same as for the Willshaw model. b. Dependence of information capacity on , the ratio between the number of depressing events and potentiating events at pattern presentation. c. Dependence on . d. Dependence on the noise in the presented patterns, . This illustrates the trade-off between the storage capacity and the generalization ability of the network.