paper review

Paper Summary: biologically plausible networks

Biologically-Plausible Learning Algorithms Can Scale to Large Datasets by Will Xiao[1], Honglin Chen[2], Qianli Liao[2] and Tomaso Poggio[2] [1] Department of Molecular and Cellular Biology, Harvard University [2] Center for Brains, Minds, and Machines, MIT Background Consider a layer in a feedforward neural network. Let xi denote the input to the i th neuron in the layer and yj the output of the j th neuron. Let W denote the feedforward weight matrix and Wij the connection between input xi and output y.