How important is weight symmetry in backpropagation?

How important is weight symmetry in backpropagation?

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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, Leibo, Joel Z, Poggio, Tomaso A
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Published: Association for the Advancement of Artificial Intelligence 2017
Online Access:http://hdl.handle.net/1721.1/112304
https://orcid.org/0000-0003-0076-621X
https://orcid.org/0000-0002-3153-916X
https://orcid.org/0000-0002-3944-0455

Internet

http://hdl.handle.net/1721.1/112304
https://orcid.org/0000-0003-0076-621X
https://orcid.org/0000-0002-3153-916X
https://orcid.org/0000-0002-3944-0455

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