Extended Data Fig. 5: Simulation of multilayer neural network with artificial dendrites.
From: Power-efficient neural network with artificial dendrites
a, Illustration of the neural network example: three layers with sizes of (3072, 500, 10), nine dendritic branches for each neuron in the hidden layer, and four dendritic branches for each output neuron. b, Illustration of the neural network inference process on the SVHN dataset, where most noise information was filtered out through hierarchical dendritic filtering. For comparison, the image after the dendritic processing (that is, interlayer image) was reconstructed by combining different branches of the image processed by each dendrite, which was calculated by multiplying the dendrite’s output with the element-wise product of the input pixels and the corresponding synaptic weights.
