is you get kind of one number of feedback right how bad you were and now your goal is to adjust all of the individual neurons or weights between neurons such that the error will be lower so in hebbian learning there is no feedback it's just simply a self reinforcing pattern activation machine in the first in these kind of first instances of perturbation learning what you'll have is you'll have one single feedback and that you can see this is a diffuse cloud here what you're basically saying is that every single neuron is