A researcher who coauthored simulations showing that random feedback weights can support learning in neural-network models. The result tested a computational alternative to symmetric feedback, while leaving biological implementation as a separate question.[ref]
Random synaptic feedback weights support error backpropagation for deep learning by Timothy P. Lillicrap and others. study design and results; author roster
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