Maximum entropy inference on weight distributions under context-dependent task constraints produces neuron populations with contextual gain modulation whose connectivity matches gradient-descent trained networks, with transitions to random structure as context count or weight scale increases.
Lillicrap, Daniel Cownden, Douglas B
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Modified feedback alignment in convolutional networks produces representations geometrically aligned with backpropagation on CIFAR-10.