Neural Networks, Stdp, Backpropagation, Hebbian.
weight on synapse from presynaptic neuron i to j at time step n. η is the learning rule coefficient and xi[n] and yj[n] are the outputs of neurons i and j in nth time step. But, some properties of Hebbian rule are making it unsuitable as a biological learning rule. Most dominant factor is not