How important is weight symmetry in backpropagation?

How important is weight symmetry in backpropagation?

Gradient backpropagation (BP) requires symmetric feedforward and feedback connections-the same weights must be used for forward and backward passes. This "weight transport problem" (Grossberg 1987) is thought to be one of the main reasons to doubt BP's biologically plausibility. Using...

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Bibliographic Details
Main Authors: Liao, Qianli (Contributor), Leibo, Joel Z (Contributor), Poggio, Tomaso A (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), McGovern Institute for Brain Research at MIT (Contributor)
Format: Article
Language:English
Published: Association for the Advancement of Artificial Intelligence, 2017-11-28T18:13:54Z.
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