if if we're exact between these two neurons and if they are both active regularly then this quantity is going to be high and if they're both not active regularly that or if one is active and the other one isn't that quantity is going to be low and the a parameter here specifies how the weights are updated in response to this so the a b c d and eta parameters right here are these are the learned parameters these are going to be your learned rules to update the weights so these change once after once per learning step so