Describe the features of self-learning networks with very low and very high learning factor (etha) values. Do we observe similar phenomena in animal brains? When answering this question, remember that learning is easier for younger brains and it becomes more difficult with age (diminishing etha values in a neural network). For example, a young puppy has a brain that can be modeled by a network with a very high etha value. Its brain is different from the brain of an older dog (whose etha value may approach zero). Present the positive and negative views of this concept.