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Parallel Distributed Processing Theory in the Age of Deep Networks [pdf] (jeffbowers.blogs.ilrt.org)
56 points by Schiphol 11 months ago | hide | past | web | favorite | 7 comments


> Parallel distributed processing (PDP) models in psychology are the precursors of deep networks used in computer science. However, only PDP models are associated with two core psychological claims, namely that all knowledge is coded in a distributed format and cognition is mediated by non-symbolic computations. These claims have long been debated in cognitive science, and recent work with deep networks speaks to this debate. Specifically, sin- gle-unit recordings show that deep networks learn units that respond selec- tively to meaningful categories, and researchers are finding that deep networks need to be supplemented with symbolic systems to perform some tasks. Given the close links between PDP and deep networks, it is surprising that research with deep networks is challenging PDP theory.

A not-paywalled version of the paper can be found here: http://jeffbowers.blogs.ilrt.org/files/2017/11/bowers-tics-2...

Thanks, we've changed the URL to that from http://www.cell.com/trends/cognitive-sciences/fulltext/S1364....

Awesome - thanks!

This is BS .. where is the full text?

Can you please not break the HN guidelines even when there isn't the full text? Angrily entitled comments are definitely not in the spirit of the site.


I'm sorry, I was browsing using my university proxy and didn't think this was obviously paywalled. Apologies.

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