Towards a (More) Biologically Plausible Neural Net
Of the many machine learning models, the artificial neural network (ANN) is of particular interest because of the obvious analogy to the function of the brain. However, the standard supervised cost function and error back-propagation algorithm are entirely implausible from a biological perspective, and in practice the performance of back-prop decreases sharply with the number of hidden-layers, requiring more and more labeled training examples which are often in short supply.