Deep Learning without Weight Transport

NeurIPS 2019 Mohamed AkroutCollin WilsonPeter C. HumphreysTimothy LillicrapDouglas Tweed

Current algorithms for deep learning probably cannot run in the brain because they rely on weight transport, where forward-path neurons transmit their synaptic weights to a feedback path, in a way that is likely impossible biologically. An algorithm called feedback alignment achieves deep learning without weight transport by using random feedback weights, but it performs poorly on hard visual-recognition tasks... (read more)

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