Neural Networks, Stdp, Backpropagation, Hebbian.
What is  ? Back-propagation by gradient descent is the underlying learning rule of artificial neural networks (ANN). This rule relies upon loss function and tries to minimize the overall loss of the network by using derivative of loss as a feedback. Even though intuition for ANNs came from natural